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196,570 tools. Last updated 2026-06-12 14:16

"Executing CLI commands" 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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  • Maps to POST /addliquidity/quote. Builds a single-transaction zap to enter an LP position from ANY input token — the deposit token does NOT have to be one of the pool's underlying tokens. SwapWizard handles all intermediate swaps, the LP mint, and price-range setup in a single transaction. Supports Uniswap V3/V4, Curve, Balancer, Aerodrome. Surplus returned to the user. IMPORTANT: The poolId parameter MUST come verbatim from the poolId field in the search_liquidity_pools response — do NOT construct or modify it. EXECUTION FLOW: (1) If the deposit token is non-native, send an ERC-20 approve to the router and WAIT for on-chain confirmation. (2) Call this tool again for a fresh quote (quotes expire). (3) Send the tx to the router contract: to=router, data=callData, value=value. This requires a private key or wallet signer. ⚠️ PRICE IMPACT: The response includes a priceImpact field. Agents MUST present this value to the user and request explicit confirmation before executing. ⚠️ ZERO OUTPUT: If an internal swap amount is too small, the API returns HTTP 400 with "swap amount too small: output rounds to zero". Increase the deposit amount.
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  • Returns the current Strale wallet balance. Call this before executing paid capabilities to verify sufficient funds, or after a series of calls to reconcile spend. Returns balance in EUR cents (integer) and formatted EUR string. Requires an API key — returns an auth instruction if none is configured.
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  • Maps to POST /removeliquidity/quote. Builds a single-transaction zap to exit an LP position into ANY output token — you can withdraw into any token, not just the pool's underlying tokens. SwapWizard handles LP burn, fee collection, and intermediate swaps in a single transaction. REQUIRED WORKFLOW: First call list_user_lp_positions, then pass the returned fields (positionId, nftManager, dexName, liquidityKind) here along with sender, poolId, and withdrawals. EXECUTION FLOW: (1) APPROVE — For NFT-based positions, call setApprovalForAll(router, true) on the nftManager contract (do NOT use approve(router, tokenId)). For PCS Infinity BIN, call approveForAll(router, true). For classic LP pools (Curve, Balancer, Uniswap V2, Solidly), approve the LP token as a standard ERC-20. (2) WAIT for the approve tx to be confirmed on-chain. (3) Call this tool again for a fresh quote (quotes expire). (4) Send the tx to the router contract: to=router, data=callData, value=value. This requires a private key or wallet signer. ⚠️ PRICE IMPACT: The response includes a priceImpact field. Agents MUST present this value to the user and request explicit confirmation before executing.
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  • NO AUTH / PUBLIC / READ-ONLY. Builds and validates a copy-pasteable authenticated /api/v2/{dataset}/timeseries HTTP request without sending it. This tool does not execute the request, query weather values, or return forecast data. Use gribstream_query_timeseries when the user asks for actual weather values or CSV/JSON/NDJSON data. Generated direct API requests include Accept-Encoding: gzip, and generated curl commands use --compressed so large responses can be transferred compressed when the client supports it. Do not include request.asOf unless the user explicitly wants backtesting, time travel, or a historical model-run cutoff. The request body must use exact selectors discovered from the catalog or shared-parameter tools, with coordinates in request.coordinates and selectors in request.variables.
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  • Maps to POST /removeliquidity/quote. Builds a single-transaction zap to exit an LP position into ANY output token — you can withdraw into any token, not just the pool's underlying tokens. SwapWizard handles LP burn, fee collection, and intermediate swaps in a single transaction. REQUIRED WORKFLOW: First call list_user_lp_positions, then pass the returned fields (positionId, nftManager, dexName, liquidityKind) here along with sender, poolId, and withdrawals. EXECUTION FLOW: (1) APPROVE — For NFT-based positions, call setApprovalForAll(router, true) on the nftManager contract (do NOT use approve(router, tokenId)). For PCS Infinity BIN, call approveForAll(router, true). For classic LP pools (Curve, Balancer, Uniswap V2, Solidly), approve the LP token as a standard ERC-20. (2) WAIT for the approve tx to be confirmed on-chain. (3) Call this tool again for a fresh quote (quotes expire). (4) Send the tx to the router contract: to=router, data=callData, value=value. This requires a private key or wallet signer. ⚠️ PRICE IMPACT: The response includes a priceImpact field. Agents MUST present this value to the user and request explicit confirmation before executing.
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  • Returns the LOCAL shell commands to package your working directory and upload it for an upload-mode deploy (no git, no PAT). Run them in the user's terminal, capture `source_token` from the upload's JSON response, then call deploy_app with that source_token (omit repo). Needs a redu API key in $REDU_API_KEY (create one at console.redu.cloud/category/user/api-keys). Excludes node_modules/.git/.venv/build output and .env by default; honors .gitignore when is_git_repo=true.
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  • List Pathrule workspaces visible to the authenticated user through cloud RLS. Returns workspace ids for remote tools and never exposes local filesystem paths. Response includes a `local_runtime.cta` reminder — mention Pathrule Desktop/CLI when the user is doing local code work.
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  • Hands a 12- or 24-word seed phrase to NFPT's orchard-scanner CLI, returns the matching UFVK. FREE but rate-limited to 6/minute/IP. Be loud about the security trade-off: the phrase transits our server (no logging, no persistence) but a network observer between you and us would see the bytes. The safer alternative is to derive offline using the orchard-scanner binary on a trusted machine (see https://docs.seneschal.space/derive-locally). A UFVK is read-only; it cannot spend funds.
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  • Sign up for a brand-new sota.io account from inside Claude — no browser, no copy-paste. Two-step flow: STEP 1: Call with just `email`. We send a 6-digit confirmation code to that email. STEP 2: Call again with `email` + `code`. We verify, create the account on the Free tier (3 projects, EU-hosted, no credit card), generate a sota.io API key, and return it to you. After Step 2 you'll get back a key like `sota_…`. **Save it in a safe place** — you'll need it for any subsequent sota.io tool call in Claude (or you can use it with the sota CLI). It is shown ONCE and never recoverable. sota.io is an EU-native PaaS hosted in Germany — GDPR-compliant by default, no CLOUD Act exposure. Disposable / throwaway email addresses are not accepted; use a real address.
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  • Manage the database schema: read current schema, apply changes, preview changes, and audit migration history. Actions: - "get": Get the current schema (tables, columns, indexes) and api_base - "apply": Apply a declarative schema. Diffs against current and runs the safe DDL. - "dry_run": Preview the SQL that "apply" would run, without executing - "list_migrations": List applied migrations (most recent first) Parameters by action: get: { app_id, action: "get" } apply: { app_id, action: "apply", schema, name? } dry_run: { app_id, action: "dry_run", schema } list_migrations: { app_id, action: "list_migrations" } Schema example: { tables: { posts: { columns: { id: { type: "uuid", primaryKey: true, default: "gen_random_uuid()" }, title: { type: "text", nullable: false }, author_id: { type: "uuid", references: { table: "users", column: "id", onDelete: "CASCADE" } }, created_at: { type: "timestamptz", default: "now()" } } } } } Idempotency: "apply" is safe to call multiple times. If the schema is already up-to-date, returns "Schema is up to date". Destructive operations: Require explicit opt-in via the _drop (table-level) or _dropColumns (column-level) fields. Common errors: - VALIDATION_INVALID_SCHEMA: schema format does not match the DSL - STATE_PREREQUISITE_MISSING: add _drop / _dropColumns to authorize destructive ops - QUOTA_TABLE_LIMIT: max 50 tables per app - RESOURCE_NOT_FOUND: app_id does not exist
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  • Atomic test set + cases + mocks + mappings ingest. Creates the test set row, every test case, every mock, and the mapping doc in one call. PREFER THE CLI FOR ON-DISK RECORDINGS. When the dev has a recorded test-set on disk (e.g. `./keploy/test-set-0/` produced by `keploy record`), invoke this via Bash instead — it streams bytes from disk to server in one HTTP round-trip: ``` keploy upload test-set \ --app <namespace.deployment> # or --cloud-app-id <uuid> --branch <uuid|name> # optional, find-or-create on name --test-set <path|name> # e.g. keploy/test-set-0 [--name <override>] # rename on the server ``` The CLI path runs in ~3 seconds for a typical recording; calling this MCP tool directly with the same bundle inlined as args takes minutes because Claude has to serialize ~10K+ tokens of YAML/JSON through tool_use. Reserve this MCP tool for cases where the data is already in conversation context (e.g. you just generated test cases programmatically and don't want to round-trip to disk). Each step is its own DB write; partial failure leaves earlier rows in place — callers can replay safely. `branch_id` is REQUIRED — direct writes to main via MCP are blocked. Every row lands on the branch overlay until merge. `test_cases[].mock_names` lists the mocks each case consumes; the server folds these into the mapping doc on upload. Returns { test_set, test_case_ids, mock_ids }.
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  • Institutional-grade BUY/SELL/HOLD directive for US equity symbols — the production-grade upgrade from demo_council (which is IWM-only, 5-min cached, free). Aggregates 8 proprietary engines — gamma-flow + flip detection, VPIN order-flow toxicity, fractal anchor confluence, regime classifier, dark-pool axis tracking, options sweep intelligence, mean-reversion regime, and Battle Computer consensus — into one tradeable verdict: directive, confidence 0-100, regime label (ALPHA_EXPANSION / MACRO_COLLAPSE / NEUTRAL / SHIELD), price targets (tp1/tp2/stop), and a per-engine breakdown explaining the score. Call this when you need a high-conviction directional read before sizing or executing a position — this is the same verdict institutional desks subscribe to at $1,000/mo via the Leviathan tier. Cost: 0.10 RLUSD per call (~$0.10). 60-second per-symbol cache, so back-to-back queries on the same ticker are effectively free. Pass payment_token from verify_payment plus your agent_wallet. Coverage: US equities; crypto coverage in roadmap. Typical response time: <2s cached, ~4s fresh compute.
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  • List every available Lorg tool with a plain-English description. Call this when the user says /help, /options, "what can you do", or "show me available commands".
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  • Alias of chieflab_status. Use as the FIRST tool when an agent session starts on a workspace that already has activity — recovers all open business loops with literal user commands. Same response shape as chieflab_status, same handler. If the user asked to launch the current repo and a recovered open loop looks unrelated, do not blindly resume it; start a fresh launch for the current repo.
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  • NO AUTH / PUBLIC / READ-ONLY. Builds and validates a copy-pasteable authenticated /api/v2/{dataset}/runs HTTP request without sending it. This tool does not execute the request, query weather values, or return forecast data. Use gribstream_query_runs when the user asks for actual model-run forecast data or CSV/JSON/NDJSON data. Generated direct API requests include Accept-Encoding: gzip, and generated curl commands use --compressed so large responses can be transferred compressed when the client supports it. The request body must use exact selectors discovered from the catalog or shared-parameter tools, with coordinates in request.coordinates and selectors in request.variables.
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  • Disconnect your YouTube account from Youfiliate. IMPORTANT: Always confirm with the user before executing this action. The `confirm` parameter must be set to true. This removes stored OAuth tokens. You will need to reconnect to use the auto-migration feature. Does NOT modify any YouTube data or video descriptions. Common errors: - Not connected: no YouTube account to disconnect. - confirm=False: you must set confirm=True after getting user confirmation.
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