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164,693 tools. Last updated 2026-05-31 10:03

"Git LFS" matching MCP tools:

  • Replay the sandbox test for one or more suites against captured mocks — re-runs the suite's steps against the dev's locally-running app while keploy serves outbound calls (DB, downstream HTTP, etc.) from the captured mocks. Use this when the dev says "replay", "run my sandbox tests", "integration-test", "check if mocks still match" — keywords "sandbox" / "replay" / "mocks" / "integration-test" all map here. Also the REPLAY STEP of FROM-SCRATCH: call this LAST (after create_test_suite + record_sandbox_test) to give the dev the whole-app regression picture against the freshly captured mocks. Output produces a SANDBOX RUN REPORT — it answers "does the suite still hold up against its captured baseline?". ═══════════════════════════════════════════════════════════════════ DISAMBIGUATION — pick this tool vs. replay_test_suite: ═══════════════════════════════════════════════════════════════════ USE replay_sandbox_test (THIS TOOL) when the dev says: * "run my sandbox tests" / "replay my sandbox tests" * "integration-test my app" / "run the integration tests" * "check if my mocks still match" / "replay against the captured mocks" * "rerun my sandbox suite" (with the word "sandbox") Trigger keyword: an explicit "sandbox" / "replay" / "mocks" / "integration-test" — silent signal that the dev wants captured-mock replay, NOT live-app execution. USE replay_test_suite INSTEAD when the dev says: * "run the test suite" / "run my test suites" (bare — no "sandbox") * "execute test suite X" / "run suite 810d3ebe…" * "test the suite again" / "smoke test against the live app" Bare verbs ("run / test / execute") applied to "the suite" without the word "sandbox" mean LIVE-APP execution, NOT captured-mock replay. replay_test_suite hits the dev's running localhost app directly via HTTP — no docker spin-up, no mocks. After a record_sandbox_test run, the natural next step is THIS tool (replay against the just-captured mocks). After create_test_suite / update_test_suite, the natural next step is replay_test_suite (validate against the live app). When the dev's verb is bare and the prior turn doesn't make the intent obvious, ASK rather than picking sandbox-replay silently — code-change regressions can hide under "mock didn't match" failures. ═══════════════════════════════════════════════════════════════════ DISCOVERY — when the dev hands you a bare suite_id with no app_id / branch_id: ═══════════════════════════════════════════════════════════════════ Suites live on a (app_id, branch_id) tuple. A bare suite_id has NO on-disk hint about which app or branch holds it; you have to RESOLVE both before calling this tool. Walk these steps in order — STOP as soon as getTestSuite returns 200: 1. Detect the dev's git branch: Bash `git rev-parse --abbrev-ref HEAD` in app_dir. If exit non-zero / output is "HEAD" → not a git repo / detached HEAD; ASK the dev for the Keploy branch name. 2. Resolve candidate apps via the cwd basename: Bash `basename $(pwd)` → call listApps with q=<basename>. Usually 1–2 candidates. If 0 → ASK; if >1 → walk every candidate in step 4. 3. For each candidate app, call list_branches({app_id}) and find the branch whose `name` matches the git branch from step 1. That gives you {branch_id}. If no match → not this app, try next. 4. Verify with getTestSuite({app_id, suite_id, branch_id=<from step 3>}). 200 → resolved; 404 → wrong app/branch, try next. 5. If steps 2–4 exhaust, walk every OPEN branch on each candidate app via list_branches → getTestSuite. Then try main (branch_id omitted). If still nothing → ASK the dev for the {app_id, branch_id} pair. After resolving once in a session, REUSE the {app_id, branch_id} for subsequent suite-targeted calls; don't re-walk discovery for every action. SCOPE — whole-app vs single-suite: * Default: LEAVE suite_ids UNSET → the tool resolves "every suite for the app that has a sandbox test (test_set_id populated)" and replays them all. Use this for "run my sandbox tests" / "check if my tests still pass" — whole-app regression. New suites auto-pick up. * Single / subset: PASS suite_ids when the dev names specific suites — "replay sandbox test for suite 810d3ebe-…", "replay only the auth suite", "run suite X and Y". The tool validates each requested id is actually a suite with a sandbox test (has test_set_id); an unlinked id gets a precise "record first" error instead of an opaque downstream CLI failure. This tool resolves the app, picks the suite set per the rule above, and returns a single playbook that drives the replay for them. It does NOT record. WHAT THIS TOOL DOES INTERNALLY (so you don't have to): 1. Resolves app_id — use the explicit app_id if the caller has one; otherwise pass app_name_hint (usually the cwd basename) and the server does listApps with a substring match. Multiple matches → error listing them; zero matches → error suggesting the dev generate a suite first. 2. Lists test suites for the app, keeps only those with a non-empty test_set_id. Zero linked → typed "no linked sandbox tests" error. 3. If suite_ids was passed, validates every requested id is in the linked-suites set; unlinked ids → typed error pointing to record_sandbox_test. 4. Returns the headless playbook — walk it exactly: spawn CLI in background, tail the progress file (PID-alive guard built in), read the terminal event, fetch the report. No separate cleanup step — the CLI exits on its own. ===== PREREQUISITES ===== (Same as record_sandbox_test — if you just recorded, you already have them. Same docker-compose network rule applies: use the same compose file + service, stop the app service before calling, leave deps running.) - app_command: shell command that starts the dev's app (e.g. "docker compose up producer"). - app_url: base URL the app listens on, e.g. http://localhost:8080. - app_dir: absolute path to repo root. - container_name if app_command is docker-compose. - keploy binary on PATH. If `which keploy` returns nothing, install it before calling this tool with: `curl --silent -O -L https://keploy.io/install.sh && source install.sh`. ===== AFTER CALLING — walk the playbook ===== Same headless playbook shape as record_sandbox_test: spawn `keploy test sandbox --cloud-app-id …` in the background via Bash, poll `tail -n 1 $PROGRESS_FILE` repeatedly (no sleep loops; the wait_for_done step has a built-in `kill -0 $KEPLOY_PID` guard so the loop exits if the CLI dies silently), read the terminal NDJSON event (phase=done, data.ok, data.test_run_id), and — if ok=true — call get_session_report(app_id, test_run_id) with verbose=true at the end. No separate cleanup step needed; the CLI exits cleanly once phase=done is written. ===== MANDATORY OUTPUT — Phase 3 section ===== Your final message to the dev MUST contain a section with this exact heading (do NOT merge with Phase 2; do NOT compress the failed-steps table even when failures are homogeneous): ### Phase 3 — Sandbox run report Under it, emit the uniform three-subsection format owned by get_session_report: (i) per-suite table — one row per suite in per_suite, passing suites included, columns = Suite name | passed/total steps. (ii) failed-steps table — ONE ROW per entry in failed_steps[], columns = Suite | Step name | Method + URL | Expected → Actual status | mock_mismatch y/n. Never collapse rows. (iii) Diagnosis + Recommendation (see get_session_report description for case-specific rules around mock_mismatch_dominant, repo-diff inspection, and the SKIP / FIX-CODE / FIX-TEST branching for fix-it follow-ups). Do NOT print aggregate step totals across suites — they mix unrelated suites and hide where damage actually is. ===== ROLLUP LINE ===== Close the message with a final one-line rollup paragraph (no heading), in addition to the three phase sections. Mention the TOTAL number of suites replayed (which may exceed the count created in this session, because replay_sandbox_test covers every linked suite the app has). Example: "_Rollup: inserted 4 suites, 4/4 with sandbox tests after record, 3/4 suites passed sandbox replay across the app's 6 linked suites — 1 failure is likely keploy egress-hook, file an issue with the IDs above._" ===== DO NOT ===== * DO NOT call update_test_suite or record_sandbox_test after this. The dev said RUN, not REFRESH. * DO NOT fall back to raw keploy CLI (`keploy test …`) if the MCP tool drops mid-flow — CLI runs test-sets directly and does NOT write results back to the MCP-visible TestSuiteRun. See MCP DISCONNECT RECOVERY in the top-level instructions.
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  • Tell the Pipeworx team something is broken, missing, or needs to exist. Use when a tool returns wrong/stale data (bug), when a tool you wish existed isn't in the catalog (feature/data_gap), or when something worked surprisingly well (praise). Describe the issue in terms of Pipeworx tools/packs — don't paste the end-user's prompt. The team reads digests daily and signal directly affects roadmap. Rate-limited to 5 per identifier per day. Free; doesn't count against your tool-call quota.
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  • Retrieve a value previously saved via remember, or list all saved keys (omit the key argument). Use to look up context the agent stored earlier — the user's target ticker, an address, prior research notes — without re-deriving it from scratch. Scoped to your identifier (anonymous IP, BYO key hash, or account ID). Pair with remember to save, forget to delete.
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  • Get everything about a US public company in one call. Use when a user asks "tell me about X", "research Acme", "brief me on Tesla", or you'd otherwise call 10+ pack tools across SEC EDGAR, XBRL, USPTO, news, GLEIF. Returns: cik + company_name; recent_filings (up to 5 with pipeworx://edgar/company/{cik}/filings/{accession} URIs); fundamentals (LATEST 10-K Revenues + NetIncomeLoss + Cash, sorted period_end DESC — Run 6 fix landed real FY2025 numbers, not stale FY2022); patents (USPTO PatentsView API was sunset May 2025; pack soft-fails until reactivated); recent news mentions via GDELT→GNews fallback; LEI via GLEIF. Pass ticker "AAPL" or zero-padded CIK "0000320193" — names not supported (use resolve_entity first).
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  • What's new with a company in the last N days/months? Use for "what's happening with X", "updates on Y", "news on Apple this month", or change-monitoring. Fans out in parallel to: SEC EDGAR (filings since `since`), GDELT→GNews fallback (news mentions in window — GDELT preferred, GNews when rate-limited or 5xx), USPTO (patents granted; PatentsView API sunset May 2025 so this soft-fails until reactivated). `since` accepts ISO date ("2026-04-01") or relative shorthand ("7d", "30d", "3m", "1y"). Returns structured changes[] grouped by source + total_changes count + pipeworx:// citation URIs. Use entity_profile instead when you want the static profile (filings + fundamentals + LEI + patents) regardless of window.
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  • Delete a test suite on a Keploy branch — synchronous, no playbook to walk. USE THIS when: * The dev's update_test_suite call was rejected with "preserves no steps from the existing suite — that's a full rewrite, not an edit". Delete the existing suite and re-author from scratch via create_test_suite. The error message itself routes here. * The dev explicitly says "delete the suite", "remove suite X", "wipe my orderflow suite". * A genuine wholesale redesign — every step changed in shape — that the audit trail shouldn't try to reconcile as edits. DO NOT USE THIS when: * The dev wants a real edit (one assertion, one step's body). Use update_test_suite + preserve existing step IDs instead — keeps audit history intact. * The dev wants to "redo" a single failed run. Test runs are independent of suite state; just rerun via replay_test_suite. INPUT * app_id (required) — Keploy app id * suite_id (required) — UUID of the suite to delete * branch_id (required) — Keploy branch UUID. The delete creates a branch-scoped DeleteTestSuite audit event so reads on the same branch see the suite as gone. Direct main writes are blocked. OUTPUT * On success: {"deleted": true} — suite is tombstoned at the branch overlay; subsequent reads (getTestSuite / listTestSuites) on this branch return 404 / exclude it. * 404 if the suite_id doesn't exist on this app/branch (verify via getTestSuite or listTestSuites first if you're unsure). After delete, the standard re-create flow is: (1) call create_test_suite with a freshly authored steps_json. The new suite gets a fresh suite_id; the old id is tombstoned, not reusable. ═══════════════════════════════════════════════════════════════════ DISCOVERY — when the dev hands you a bare suite_id with no app_id / branch_id: ═══════════════════════════════════════════════════════════════════ Suites live on a (app_id, branch_id) tuple. A bare suite_id has no on-disk hint about which app or branch holds it; you have to RESOLVE both before calling this tool. Walk these steps in order — STOP as soon as getTestSuite returns 200: 1. Detect the dev's git branch: Bash `git rev-parse --abbrev-ref HEAD` in app_dir. If exit non-zero / output is "HEAD" → not a git repo / detached HEAD; ASK the dev for the Keploy branch name (don't invent one). 2. Resolve candidate apps via the cwd basename: Bash `basename $(pwd)` → call listApps with q=<basename>. Usually 1–2 candidates. If 0 → ASK; if >1 → walk every candidate in step 4. 3. For each candidate app, call list_branches({app_id}) and find the branch whose `name` matches the git branch from step 1. That gives you {branch_id}. If no match → not this app, try next. 4. Verify with getTestSuite({app_id, suite_id, branch_id=<from step 3>}). 200 → resolved; 404 → wrong app/branch, try next. 5. If steps 2–4 exhaust, walk every OPEN branch on each candidate app, then try main (branch_id omitted). If still nothing → ASK the dev for the {app_id, branch_id} pair. After resolving once in a session, REUSE the {app_id, branch_id} for subsequent suite-targeted calls; don't re-walk discovery for every action.
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  • Code intelligence for LLMs. Analyze, search, and retrieve code from any public git repository.

  • Edit an existing test suite — change one or more step bodies, assertions, headers, or remove/add steps. Returns a playbook that delegates to `keploy update-test-suite`, which validates the new state (static structural checks + 2 live runs for idempotency + GET-coupling check) and snapshot-replaces the suite via api-server. POST-EDIT BEHAVIOUR: any structural change here (step method/url/body/headers/extract/assert, or add/delete steps) AUTOMATICALLY clears the suite's sandbox test server-side — the suite comes back as linked=false. Call record_sandbox_test on the updated suite before any sandbox replay; otherwise replay_sandbox_test will 400 with "no sandboxed tests". Cosmetic-only edits (name, description, labels) preserve the sandbox test. ═══════════════════════════════════════════════════════════════════ FETCH-FIRST RULE — required for the edit to be accepted: ═══════════════════════════════════════════════════════════════════ The api-server's replace handler rejects updates that preserve ZERO step IDs from the existing suite ("full rewrite, not an edit"). To make a real edit: 1. Call getTestSuite first (or use download_recording / get_app_testing_context if you already have the suite). Capture each existing step's "id" field. 2. Compose your new steps_json INCLUDING the existing "id" on every step you want to KEEP or EDIT. Omit "id" only on steps you're ADDING. Drop a step entirely from steps_json to DELETE it. 3. Call this tool with that merged steps_json. If you author a fresh JSON without the existing step IDs, the server rejects it with "preserves no steps from the existing suite". When that happens, your two options are: (a) re-author with IDs preserved (preferred — keeps history), or (b) call delete_test_suite then create_test_suite (loses history, fresh suite_id). ═══════════════════════════════════════════════════════════════════ DISCOVERY — when the dev hands you a bare suite_id with no app_id / branch_id: ═══════════════════════════════════════════════════════════════════ Suites live on a (app_id, branch_id) tuple. A bare suite_id has no on-disk hint about which app or branch holds it; you have to RESOLVE both before calling this tool. Walk these steps in order — STOP as soon as getTestSuite returns 200: 1. Detect the dev's git branch: Bash `git rev-parse --abbrev-ref HEAD` in app_dir. If exit non-zero / output is "HEAD" → not a git repo / detached HEAD; ASK the dev for the Keploy branch name. 2. Resolve candidate apps via the cwd basename: Bash `basename $(pwd)` → call listApps with q=<basename>. Usually 1–2 candidates. If 0 → ASK; if >1 → walk every candidate in step 4. 3. For each candidate app, call list_branches({app_id}) and find the branch whose `name` matches the git branch from step 1. That gives you {branch_id}. If no match → not this app, try next. 4. Verify with getTestSuite({app_id, suite_id, branch_id=<from step 3>}). 200 → resolved; 404 → wrong app/branch, try next. 5. If steps 2–4 exhaust, walk every OPEN branch on each candidate app, then try main (branch_id omitted). If still nothing → ASK the dev for the {app_id, branch_id} pair. The getTestSuite call in step 4 is the one whose response you also use to capture every step's existing "id" for the FETCH-FIRST RULE above — so step 4 is actually a 2-for-1: discovery AND fetch-first happen on the same call. After resolving once in a session, REUSE the {app_id, branch_id} for subsequent suite-targeted calls; don't re-walk discovery for every action. ═══════════════════════════════════════════════════════════════════ INPUTS ═══════════════════════════════════════════════════════════════════ * app_id (required) — Keploy app id * suite_id (required) — UUID of the suite to update * branch_id (required) — Keploy branch UUID (resolve via the two-step flow before calling) * steps_json (required) — JSON array of the FULL desired step list. Each kept step MUST carry the existing "id". Same step shape as create_test_suite (response, extract, assert, etc — all static structural checks apply). * name / description / labels (optional) — overrides for top-level suite metadata * app_url (required) — base URL of the dev's running local app, e.g. http://localhost:8080. The CLI fires the new state TWICE against this for the idempotency check + GET-coupling check. * app_dir (optional) — repo root the CLI cd's into; defaults to "." ═══════════════════════════════════════════════════════════════════ HOW THIS TOOL WORKS ═══════════════════════════════════════════════════════════════════ This tool DOES NOT call api-server itself. It returns a 3-step playbook for you (Claude) to walk via Bash — same shape as create_test_suite: 1. Write merged JSON to a temp file. 2. Run `keploy update-test-suite --suite-id <id> --file <path> --branch-id <uuid> --base-url <url>` — runs every static structural check, fires the new state twice locally, applies the GET-coupling check, then POSTs the snapshot-replace. 3. Cleanup the temp file. Walk the playbook in order. If step 2 exits non-zero, surface stdout to the dev — it has the rule violation / failure detail. OUTCOMES the AI should recognize: * Exit 0 + stdout has "✓ suite updated:" + "View:" line → success. Surface the View URL to the dev. * Exit 1 + "preserves no steps from the existing suite" → fetch-first rule was missed. Re-author with step IDs preserved (or call delete_test_suite + create_test_suite as the documented escape hatch). * Exit 1 + structural-check violations → fix the suite per the violation messages, then REWRITE the suite file via Bash and RE-RUN this CLI command directly. DO NOT call update_test_suite again to retry — the playbook + file path are already valid; only the JSON content needs revision. The validator output includes a canonical step skeleton on structural failures. * Exit 2 + "couldn't reach the dev's app" → ensure the app is up at app_url and retry. PREREQUISITES the playbook assumes: * The dev's app is up and reachable at app_url. * `keploy` binary is on PATH. If missing, install before calling this tool: `curl --silent -O -L https://keploy.io/install.sh && source install.sh`. * Either ~/.keploy/cred.yaml exists or KEPLOY_API_KEY is exported.
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  • Replay an existing test suite live against the dev's LOCAL APP (no mocks, no docker spin-up). Returns a playbook that delegates to the enterprise CLI `keploy test-suite`, which walks each suite's steps, fires HTTP requests at base_path, evaluates assertions, and uploads per-suite results to api-server. The CLI prints a final pass/fail summary table plus a "Report:" URL to stdout. Output produces a TEST SUITE REPORT — it answers "does the suite hold up against the actual current system?". ═══════════════════════════════════════════════════════════════════ DISAMBIGUATION — pick this tool vs. replay_sandbox_test: ═══════════════════════════════════════════════════════════════════ USE replay_test_suite (THIS TOOL) when the dev says: * "run the test suite" / "run my test suites" * "execute test suite X" / "run suite 810d3ebe…" * "test the suite again" / "rerun the suite" * "validate the suite changes" (after editing a suite) * "smoke test against the live app" Default reading: bare verbs "run" / "execute" / "test" applied to "the suite" mean LIVE-APP execution, NOT replay against captured mocks. USE replay_sandbox_test INSTEAD when the dev says: * "run my sandbox tests" / "replay my sandbox tests" * "integration-test my app" / "check if my mocks still match" * "replay the captured tests" / "run against the recorded mocks" Trigger keyword: "sandbox" / "replay" / "mocks" / "integration-test" — explicit signal that the dev wants captured-mock replay, not live-app. After a record_sandbox_test run, the natural next step is replay_sandbox_test (replay against the freshly captured mocks). After create_test_suite / update_test_suite, the natural next step is replay_test_suite (validate the new/edited suite against the live app). When the dev's verb is bare ("run the suite") and the prior turn was create/update, prefer THIS tool. When the prior turn was record, ASK the dev if unsure — the verbs overlap and silently picking sandbox-replay can mask code-change failures with mock-replay noise. USE THIS for: re-running previously-created suites against a running local app — verifying a regression after a code change, smoke-testing a branch, re-validating after editing a suite. DO NOT USE this for: validating a NEW suite that hasn't been inserted yet (use create_test_suite — it runs the suite twice as part of validation), or for running suites against the captured-mock copy of the app (use replay_sandbox_test — captured-mock replay flow). ═══════════════════════════════════════════════════════════════════ DISCOVERY — when the dev hands you a bare suite_id with no app_id / branch_id: ═══════════════════════════════════════════════════════════════════ Suites live on a (app_id, branch_id) tuple. A bare suite_id has no on-disk hint about which app or branch holds it; you have to RESOLVE both before calling this tool. Walk these steps in order — STOP as soon as getTestSuite returns 200: 1. Detect the dev's git branch: Bash `git rev-parse --abbrev-ref HEAD` in app_dir. If exit non-zero / output is "HEAD" → not a git repo / detached HEAD; ASK the dev for the Keploy branch name (don't invent one). 2. Resolve candidate apps via the cwd basename: Bash `basename $(pwd)` → call listApps with q=<basename> (case-insensitive substring match). Usually 1–2 candidates (e.g. "orderflow" → matches "orderflow" and "orderflow.producer"). If 0 → ASK the dev for the app_id; if >1 → walk every candidate in step 4. 3. For each candidate app, call list_branches({app_id}) and find the branch whose `name` matches the git branch from step 1. That gives you {branch_id, status}. If no match → that app's not the owner; try the next candidate. If status is closed/merged → ask the dev whether to use this branch anyway. 4. Verify with getTestSuite({app_id, suite_id, branch_id=<from step 3>}). 200 → resolved; 404 → wrong app, try next candidate. 5. If steps 2–4 exhaust without a hit, the suite is on a branch whose name doesn't match the git branch (the dev created it with a custom name, or it's on main). Then: call list_branches on each candidate app and try every OPEN branch's branch_id with getTestSuite, then try main (branch_id omitted). If still nothing → ASK the dev for the {app_id, branch_id} pair. The reverse "look up suite_id globally" path doesn't exist — auditing is branch-scoped, so resolution starts from a branch context. After resolving once in a session, REUSE the {app_id, branch_id} for any subsequent suite-targeting call (delete_test_suite / update_test_suite / replay_test_suite); don't re-walk discovery for every action. ═══════════════════════════════════════════════════════════════════ INPUTS ═══════════════════════════════════════════════════════════════════ * app_id (required) — Keploy app ID. Same value used for create_test_suite / list_branches. * branch_id (required) — Keploy branch UUID. Resolve via the explicit two-step flow BEFORE calling: (1) Bash `git rev-parse --abbrev-ref HEAD` in app_dir; (2) call create_branch tool with {app_id, name: <git branch>} — find-or-create returns {branch_id, ...}; pass it here. Direct main writes are blocked. * base_path (required) — base URL of the dev's local app, e.g. http://localhost:8080. Each suite step's relative path is appended to this. * suite_ids (optional) — list of suite IDs to run. Omit / empty = run every suite registered for app_id on the branch. * header (optional) — single header to inject into every request, e.g. "Cookie: session=…". Same shape as the CLI's -H flag. * app_dir (optional) — absolute path to the dev's repo root (where the app is running). Defaults to '.' (cwd). The CLI invocation cd's here. ═══════════════════════════════════════════════════════════════════ HOW THIS TOOL WORKS ═══════════════════════════════════════════════════════════════════ This tool DOES NOT execute the suite itself. It returns a "playbook" — a small array of shell steps for you (Claude) to walk via Bash. The playbook spawns the enterprise CLI `keploy test-suite` in the foreground; the CLI: 1. Validates the branch exists + is writable (fails fast with a clear message if not). 2. Loads suites from api-server (filtered by --suite-id when supplied; otherwise every suite on the branch). 3. For each suite: fires step requests at base_path, evaluates assertions, records per-step results. 4. Uploads a TestSuiteRun + TestSuiteReport entry to api-server (?branch_id=<uuid>). 5. Prints a summary table to stdout, exits 0 on all-pass / 1 on any failure. Walk the playbook in order. Surface the CLI's stdout to the dev — the table shows which suites passed / failed / were "buggy" (suite-level verdict separate from individual step failures). PREREQUISITES the playbook assumes: * The dev's app is up and reachable at base_path. * `keploy` binary is on PATH. If missing, install before calling this tool: `curl --silent -O -L https://keploy.io/install.sh && source install.sh`. * Either ~/.keploy/cred.yaml exists (API key) or KEPLOY_API_KEY is exported.
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  • Prove the just-generated API test actually catches bugs by applying 3 real source-level mutations to the handler, running the test against each, and reverting. The doc-stated "manufactured proof in the first session" moment. OPT-IN, NOT OPT-OUT — this tool TOUCHES THE DEV'S SOURCE FILES (temporarily). Always ASK the dev for explicit consent before walking the playbook: "I'll apply 3 small temporary changes to <handler file> to prove the test catches them, then revert every change. Proceed?" Only run the playbook on "yes". What the playbook does: 1. Identify the handler file(s) the test exercises by reading <app_dir>/keploy/api-tests/<resource>/test.yaml and grepping for the route paths in the dev's code. 2. Pick 3 concrete mutations the test assertion set should catch — e.g. change a response field's type (Name string → Name int), rename a field (email → mail), remove a field. Choose mutations that map to fields the test ACTUALLY asserts on (read the suite's assertions to inform the pick). 3. For each mutation: apply via Edit, restart the dev's app if needed (hot-reload usually handles this), run keploy test-gen run, capture pass/fail, REVERT via Edit before moving to the next mutation. 4. Run a final "git diff -- <handler file>" to verify all reverts succeeded. If non-empty, HALT and ask the dev to run "git checkout <file>" before continuing. 5. Report: "I made 3 small changes, your test caught M/3. Caught: [concrete list]. Missed: [concrete list, with recommendation]." ABSOLUTE RULES: * Revert is non-negotiable. The dev's working tree must be clean at the end. * Never modify test.yaml, config files, or anything outside the handler source(s) for this resource. * Never run more than 3 mutations in one playbook (more is noise, less is unconvincing). * If you can't identify a clear handler file, ASK the dev rather than guessing. When the dev says "expand coverage to the other resources" → call devloop_expand_coverage next.
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  • Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
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  • DESTRUCTIVE: Restore an app to a previous version using git reset --hard. This permanently overwrites all current files with the state from the specified commit — any changes made after that commit will be lost and CANNOT be recovered. You MUST confirm with the user before calling this tool. Use list_versions to show the user available versions first.
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  • Delete a Bridge Town project. Requires Owner role on the project. This permanently removes the project and all its git history, files, and collaborator grants. The action cannot be undone. Safety: defaults to dry_run=True to confirm you are targeting the right project. The dry-run response lists what will be deleted without mutating anything and returns a confirmation_token.
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  • What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.
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  • Record (or refresh) the sandbox test for one or more existing test suites — captures the request/response per step plus the outbound mocks (DB, downstream HTTP, etc.) against the dev's locally-running app, then links the captures onto the suite. Use this when the dev says "record", "rerecord", "re-record", "refresh the recordings", "capture mocks", or as the RECORD step in FROM-SCRATCH (after create_test_suite). This tool resolves the app (if only a hint is given), resolves ONE OR MORE suites to record (by exact ids OR case-insensitive name substring match), and delegates to a headless playbook. Output produces a RERECORD REPORT — it answers "did the sandbox test get created and linked successfully?". ╔═══ PRE-CHECK — DID YOU ARRIVE HERE FROM A FAILED REPLAY? ═══╗ This tool refreshes the CAPTURED BASELINE (mocks + recorded request/response per step). It does NOT modify the suite's authored assert array or response.body — those are the contract as defined when the suite was created/updated. If the contract changed and you re-record without updating the suite first, the new rerecord fires the suite's stale assertions against the live app, gate-1-fails on the same diff, and the suite comes back unlinked. Before calling THIS tool in response to a failed replay_sandbox_test or replay_test_suite, walk these checks: 1. Read failed_steps[].authored_assertions and authored_response_body in the most recent get_session_report (kind=sandbox_run / test_suite_run). The fields are inlined — no second tool call needed unless the report predates the inlined fields. 2. For each failing step: does any authored assertion pin the diverging value? (e.g. assert {path: "$.order.status", expected: "created order"} where the diff says "expected 'created order', got 'created'".) * YES → call update_test_suite FIRST to update that assertion + the response.body field, THEN call this tool. * NO → safe to call this tool directly; the captured baseline drifts but no authored assertion blocks the rerecord. 3. If you can't find authored_assertions in the report (older format) AND don't already know the suite's shape, call getTestSuite({app_id, suite_id, branch_id}) to inspect the assert array before deciding. Don't guess. REFUSE-RULE: if the dev confirms a contract change is intentional and the failing step has a pinned authored assertion on the diverging value, you MUST run update_test_suite before this tool. Calling record_sandbox_test FIRST in that case is the bug this pre-check exists to prevent — don't justify it as "let's just refresh the baseline first". The order is update → record → replay; never record → update. ╚═══════════════════════════════════════════════════════════════╝ ===== BEFORE CALLING — one-time setup ===== (a) APP_ID RESOLUTION (skip if app_id is already known): * Derive a likely app name from the cwd's basename (e.g. cwd=/home/dev/orderflow → "orderflow"). Lowercase it. * Call listApps({q: "<cwd-basename>"}) — the server does a case-insensitive server-side substring match, so you don't paginate the full tenant list (can be hundreds of apps on shared accounts). * Exactly one match → use its id. Multiple → list them and ASK the dev which one (a wrong app_id silently routes traffic + suite creates into the wrong app). Exception: if the compose file / repo layout unambiguously pins one candidate (e.g. compose has service "producer" and one candidate is "<folder>.producer" while others are unrelated siblings), you may pick it AND tell the dev up-front so they can correct. * Zero matches → ASK permission to create a new Keploy app with the derived name; on yes, call createApp({name, endpoint}) and use the returned id. * Alternatively pass app_name_hint to THIS tool and the server resolves it (same rules; multiple/zero → typed error). (b) KEPLOY BINARY VERIFICATION: * Bash: "keploy --version" (or "~/.keploy/bin/keploy --version"). If it exits non-zero the binary is missing. * If missing OR older than this MCP server was built against, install/upgrade: curl --silent -O -L https://keploy.io/ent/install.sh && source install.sh * Re-verify with "keploy --version"; fail loudly if still absent (tell the dev where keploy put the binary so they can add it to PATH). ===== DOCKER-COMPOSE NETWORK RULE (absolute) ===== Use the SAME compose file + service that was used in the validate-curl phase. Do NOT point keploy at a second "keploy-only" compose file — docker-compose isolates each file into its own project + network, so the app container spawned by keploy cannot reach the DB/Kafka containers that validate brought up (and the network-name collision blocks keploy from starting). Correct flow: (i) Validate phase: "docker compose up -d" (brings up app + deps on network <project>_default). (ii) Before calling record_sandbox_test, Bash: "docker compose stop <app_service> && docker compose rm -f <app_service>" — stop ONLY the app service; leave deps running so keploy's new app container can reach them on the existing network. (iii) Pass app_command = "docker compose up <app_service>" (same compose file, same project → same network). container_name = the actual name set by compose (e.g. "orderflow-producer", not "producer"). ===== RESOLUTION RULES (server-side, no guessing) ===== 1. App: caller provides app_id OR app_name_hint. With a hint, the server does listApps({q: hint}). Zero matches → typed error; multiple → typed error listing them so Claude asks the dev. 2. Suites: DEFAULT IS "ALL LINKED". When the dev says "record my sandbox tests" / "rerecord everything" / "refresh my recordings" with no specific suite named, LEAVE BOTH suite_ids AND suite_name_hint UNSET. Do NOT list suites first and pass a comma-joined UUID list back — the CLI resolves "every linked suite for the app" itself, cleaner and less brittle. Only pass a narrower selector when the dev explicitly names suites: - suite_ids (comma-separated, exact) — when you already have the IDs. - suite_name_hint (case-insensitive substring match) — when the dev names suites by human phrasing like "the auth suite" or "deterministic". Every suite whose name contains the substring is recorded. If the dev asks to record suites that don't exist yet (zero match) → typed error. Any ≥1 match is fine. DO NOT prompt the dev for which suites to record — default to all linked if they didn't name any. ===== DISCOVERY — when the dev hands you a bare suite_id with no app_id / branch_id ===== Suites live on a (app_id, branch_id) tuple. A bare suite_id has NO on-disk hint about which app or branch holds it; you have to RESOLVE both before calling this tool. Walk these steps in order — STOP as soon as getTestSuite returns 200: 1. Detect the dev's git branch: Bash `git rev-parse --abbrev-ref HEAD` in app_dir. If exit non-zero / output is "HEAD" → not a git repo / detached HEAD; ASK the dev for the Keploy branch name. 2. Resolve candidate apps via the cwd basename: Bash `basename $(pwd)` → call listApps with q=<basename>. Usually 1–2 candidates. If 0 → ASK; if >1 → walk every candidate in step 4. 3. For each candidate app, call list_branches({app_id}) and find the branch whose `name` matches the git branch from step 1. That gives you {branch_id}. If no match → not this app, try next. 4. Verify with getTestSuite({app_id, suite_id, branch_id=<from step 3>}). 200 → resolved; 404 → wrong app/branch, try next. 5. If steps 2–4 exhaust without a hit, walk every OPEN branch on each candidate app via list_branches → getTestSuite. Then try main (branch_id omitted). If still nothing → ASK the dev for the {app_id, branch_id} pair. The standard pattern when "search the suite by id" returns nothing is NOT "give up and ask the dev which app" — it's "the suite exists on a BRANCH, walk discovery". Suites created via create_test_suite + rerecord on a Keploy branch are INVISIBLE to a main-view listTestSuites; you have to scope each call to a branch. After resolving once in a session, REUSE the {app_id, branch_id} for any subsequent suite-targeted call (replay_sandbox_test, update_test_suite, replay_test_suite); don't re-walk discovery for every action. ===== PREREQUISITES ===== - app_command: shell command that starts the dev's app (e.g. "docker compose up producer"). - app_url: base URL the app listens on, e.g. http://localhost:8080. - app_dir: absolute path to repo root. - container_name if app_command is docker-compose. - keploy binary on PATH. If `which keploy` returns nothing, install it before calling this tool with: `curl --silent -O -L https://keploy.io/install.sh && source install.sh`. ===== AFTER CALLING — walk the playbook ===== The response includes a "playbook" array; execute its steps in order. The flow is HEADLESS — one background process, NDJSON progress events on a local file, no separate HTTP surface to bind. THERE IS NO SEPARATE CLEANUP STEP — the CLI exits on its own once phase=done is written. 1. Spawn the `keploy record sandbox --cloud-app-id …` process via Bash (run_in_background). Capture its PID into $KEPLOY_PID. 2. Poll progress by repeatedly calling Bash with `tail -n 1 $PROGRESS_FILE`. Each call returns instantly; the MCP round-trip between calls paces the loop. DO NOT wrap in a sleep loop — Claude Code's Bash rejects standalone `sleep N` and chained-sleep patterns. Read .phase off each line; stop when phase=done. The wait_for_done step's built-in `kill -0 $KEPLOY_PID` check is the safety-net for silent early-exit (CLI died before writing the terminal event) — it lets the loop exit instead of spinning forever on a dead process. 3. Read the terminal event (last line of $PROGRESS_FILE). It carries data.ok, data.error (on failure), data.test_run_id (on success). 4. On data.ok=true: call get_session_report(app_id, test_run_id) with verbose=true to surface the rerecord report. On data.ok=false: show data.error to the dev directly (optionally tail the log_file for stderr context) and SKIP get_session_report (there's no run to fetch). Auto-replay + linkTestSetToSuite run INSIDE the CLI process before it writes phase=done — if the terminal event says ok=true, linkage already happened. You do NOT need to wait for a separate post-success window; the CLI doesn't exit until it's fully done. INTERRUPTED FLOWS: if your conversation dies between step 1 and step 2 (Claude crashes, connection drops, dev cancels), the CLI keeps running in the background. It's not orphaned — it'll finish its run and write phase=done. To abort early, the dev can `pkill -f "keploy.*sandbox"` manually; otherwise just let it complete and resume by re-reading the progress file on the next turn. ===== NDJSON SCHEMA — the contract ===== Every line in the progress_file is one JSON object with this envelope: { "ts": "<RFC3339-nano>", "command": "record" | "test", "phase": "<phase-name>", "message": "<optional human-readable>", "data": { ... phase-specific ... } // optional } The phase vocabulary is intentionally extensible — new lifecycle phases get added over time as the CLI grows (started, agent_up, app_starting, suites_running_start, record_done, auto_replay_skipped, upload_done, linking_done, etc.). There are only TWO phases the AI must handle programmatically; everything else is informational and you should NOT switch on phase names you don't recognize: * phase != "done" → keep polling. Optional: surface message/data to the dev as ambient progress ("agent is starting...", "suites uploading..."), but never branch on a specific intermediate phase name. * phase == "done" → terminal event. Stop polling. The data envelope carries: - data.ok bool true on success, false on failure - data.error string (only on ok=false) one-line failure summary - data.test_run_id string (only on ok=true) pass to get_session_report - data.app_id string echo of the app_id passed to the tool - data.artifact_dir string local path to captured/replayed artifacts - data.dashboard_url string UI link to drill into the run If you observe a phase you don't recognize, IGNORE it and keep polling. If "done" itself is renamed by a future CLI version, the wait_for_done step's PID-alive guard is your safety net (the poll loop exits when the CLI dies); surface log_file contents to the dev. ===== "ALL SUITES FAILED CAPTURE" — special signal ===== If you see a `phase: "auto_replay_skipped"` event with `message: "all suites failed during rerecord; skipping replay + linking"` ahead of the terminal `done` event, every suite failed at the CAPTURE phase (before auto-replay even ran). The CLI fails closed in this case — auto-replay and suite linking are SKIPPED, so every per_suite entry comes back linked=false. Watch for this trap: the terminal `data.ok=true` because the CLI itself completed cleanly (it didn't crash; it just had nothing to record successfully). DO NOT read data.ok=true as "rerecord succeeded" — read `<linked>/<total>`. If linked == 0, this is a HARD failure that needs diagnosis, not a partial-linkage case. ALWAYS surface the dashboard URL on this case. The terminal `done` event still carries `data.dashboard_url` and `data.test_run_id` (atg's TestSuiteRun was created during the capture phase); emit them verbatim so the dev can drill into per-step failures in the UI: "0/N suites have a sandbox test — every suite failed during the capture phase, so auto-replay and linking were skipped. Dashboard: <data.dashboard_url> (test_run_id=<id>)" EDGE CASE: if `data.test_run_id` is empty, atg never inserted a TestSuiteRun (typically a pre-flight validation failure — branch-id rejection, app unreachable, etc.). The dashboard URL won't resolve. Skip the URL, surface the log_file contents instead so the dev can read the early-stage failure. Recovery is the same as WHEN linked=false below — read failed_steps for each suite and pick route B (fix code) / C (update suite + record again) / SKIP. Don't infra-retry; capture-phase failures across every suite usually mean the app is broken, the suite shapes are stale, or the dev's local app isn't reachable. ===== LINKAGE VERIFICATION ===== After get_session_report returns, for EVERY suite that went into this record, call getTestSuite({suite_id}) and check whether the suite has a sandbox test (linked=true / non-empty test_set_id). A suite without a sandbox test cannot be replayed — replay_sandbox_test will 400 on it with "no sandboxed tests" until a successful record produces one. ===== WHEN linked=false — recovery rules ===== A suite with linked=false after record_sandbox_test means the record process couldn't produce a sandbox test for that suite. The SUITE ITSELF still exists; it just has no sandbox test. Diagnose WHY by reading the rerecord report's failed_steps for that suite: * No failed_steps OR pure infra error (link-commit / upload failed, no step diverged) → call record_sandbox_test AGAIN scoped to just the unlinked suite_ids. The tool is idempotent on the suite; safe to re-run. * failed_steps with assertion diffs (response shape, body fields, status code shifted from what the suite expected) → the suite is stale relative to current app behavior. The CONTRACT changed: - Change is INTENTIONAL (new field, renamed key, different status code is the new normal) → call update_test_suite to update the affected step's response / assertions to match the new contract, THEN call record_sandbox_test on the updated suite. - Change is UNINTENTIONAL (app regressed) → fix the app code first, then call record_sandbox_test. No suite update needed; the original test was correct. * failed_steps with 500s / handler crashes / connection refused → the app is broken at the wire level. Fix the app, then call record_sandbox_test. Don't update_test_suite to absorb a real failure. NEVER: * Don't call create_test_suite to "redo" the suite — it already exists; re-creating authors a duplicate (see BEFORE CREATING in create_test_suite). * Don't blindly loop record_sandbox_test without diagnosing failed_steps first; if the cause is suite-vs-app mismatch, retries won't help. ===== MANDATORY OUTPUT — Phase 2 section ===== Your final message to the dev MUST contain a section with this exact heading (do NOT collapse into a single pass/fail table with the rerecord report; do NOT merge with Phase 1 or Phase 3): ### Phase 2 — Sandbox-test linkage **<linked>/<total> suites have a sandbox test** _Suites with a sandbox test_ | Suite name | suite_id | test_set_id | Capture pass/total | | --- | --- | --- | --- | | <name> | <suite_id> | <test_set_id> | <p>/<t> | (emit even if zero — one row per linked suite, or "_(none)_" in place of rows) _Suites without a sandbox test_ (omit ONLY if every suite linked) | Suite name | suite_id | Likely cause | | --- | --- | --- | | <name> | <suite_id> | gate1 / gate2 / infra | Likely-cause decoding: assertion diffs → gate 1 upstream-replay failure; upstream-passing + mock-replay-diff → gate 2 mock-determinism mismatch; zero failures + still unlinked → infra link-commit issue. Then proceed to replay_sandbox_test ONLY for the suites that DID link; the unlinked ones will 400 on replay. ===== DO NOT ===== * DO NOT fall back to raw keploy CLI (`keploy rerecord -t …`) if the MCP tool drops mid-flow — the CLI subcommand runs test-sets directly and does NOT update the suite's test_set_id. See MCP DISCONNECT RECOVERY in the top-level instructions.
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  • Generate a production-ready llms.txt file for any URL so AI crawlers (ChatGPT, Claude, Perplexity) can index the site cleanly. Fetches the page, extracts title/description/key links, and emits the standard llms.txt markdown format. Output is a single text blob ready to drop at site-root/llms.txt. Useful for: getting a client's site indexed by AI, drafting llms.txt for your own project, or auditing how an AI crawler would see a competitor.
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  • Find tools by describing the data or task. Use when you need to browse, search, look up, or discover what tools exist for: SEC filings, financials, revenue, profit, FDA drugs, adverse events, FRED economic data, Census demographics, BLS jobs/unemployment/inflation, ATTOM real estate, ClinicalTrials, USPTO patents, weather, news, crypto, stocks. Returns the top-N most relevant tools with names, descriptions, and full input schemas (with curated examples) — each result is ready to call directly, no second schema lookup needed. Call this FIRST when you have many tools available and want to see the option set (not just one answer).
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  • Get code from a remote public git repository — either a specific function/class by name, a line range, or a full file. PREFERRED WORKFLOW: When search results or findings have already identified a specific function, method, or class, use symbol_name to extract just that declaration. This avoids fetching entire files and keeps context focused. Only fetch full files when you need a broad understanding of a file you haven't seen before. For supported languages (Go, Python, TypeScript, JavaScript, Java, C, C++, C#, Kotlin, Swift, Rust) the response includes a symbols list of declarations with line ranges. This is not a first-call tool — use code_analyze or code_search first to identify targets, then extract precisely what you need.
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  • Create a new sncro session. Returns a session key and secret. Args: project_key: The project key from CLAUDE.md (registered at sncro.net) git_user: The current git username (for guest access control). If omitted or empty, the call is treated as a guest session — allowed only when the project owner has "Allow guest access" enabled. brief: If True, skip the first-run briefing (tool list, tips, mobile notes) and return a compact response. Pass this on the second and subsequent create_session calls in the same conversation, once you already know how to use the tools. After calling this, tell the user to paste the enable_url in their browser. Then use the returned session_key and session_secret with all other sncro tools. If no project key is available: tell the user to go to https://www.sncro.net/projects to register their project and get a key. It takes 30 seconds — sign in with GitHub, click "+ Add project", enter the domain, and copy the project key into CLAUDE.md.
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  • Verify the code running on Blueprint servers. Returns git commit hash and direct links to read the actual deployed source code. Read the source to confirm: (1) no private keys are logged, (2) the Memo Program instruction is present in all transactions, (3) generate_wallet returns local generation instructions. Don't trust — read the code yourself via the source endpoints.
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  • Upload local contexts to the GitWhy cloud as private (not shared with team). Use after saving contexts locally to back them up to the cloud. Synced contexts remain private until explicitly published with gitwhy_publish. CLI alternative: `git why push <context-id>` (syncs specified contexts as private).
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