"Redis" matching MCP tools:

• wait_for_answer

  Pushary

  Poll for the user's answer to a previously created question. Use it in three cases: after ask_user with wait set to false, after an ask_user call that returned timedOut, or with the linkedCorrelationId from a send_notification that embedded an askQuestion. Each call blocks until the answer arrives or timeoutMs expires (default 30 seconds, max 55). Questions live for 10 minutes in Redis, so when a call comes back { answered: false }, retry with the same correlationId up to 3 times with timeoutMs 55000 to give the user time to reach their phone; only then treat the question as unanswered and fall back to asking in the terminal. Returns { answered: true, value } once the user responds, where value is "yes"/"no" for confirm, the chosen option for select, or the typed text for input.

  Connector

• quizbase_stats

  QuizBase

  Public catalog counters with live breakdowns by language, source, category, difficulty, topic, tag. USE WHEN: showing catalog overview, picking a category programmatically, building landing copy, deciding "do we have enough X-content for this quiz". OUTPUT FIELDS: - total: approved questions in 'en' + 'pl'. - byLanguage: { en: N, pl: N }. - bySource: { entityq: N, mintaka: N, 'kqa-pro': N, ... } — 12 keys, one per source database. - byDifficulty: { trivial: N, easy: N, medium: N, hard: N, expert: N, unrated: N } — null difficulty mapped to 'unrated'. trivial/expert populated by LLM calibration. - byCategory: top 24 with localized names. - byTopic / byTag: top 30 curated topics + top 30 tags with localized labels. - meta: { generatedAt: ISO 8601, language }. INPUTS: lang (default "en") affects byCategory[].name and byTopic[].label / byTag[].label. DATA FRESHNESS: snapshot regenerated daily (~03:00 UTC) + on demand after batch imports. generatedAt shows when. Counts stable ±0.01% between snapshots. COMMON MISTAKES: polling stats every request (cache it on your side; 5-min Redis TTL on ours); treating bySource keys as stable enum (use quizbase_languages / quizbase_categories for canonical input enums).

  Connector

• convoopen

  InsideOut (Riley)

  WORKFLOW: Step 1 of 4 - Start infrastructure design conversation Open an InsideOut V2 session and receive the assistant's intro message. The response contains a clean message from Riley (the infrastructure advisor) - display it to the user. ⚠️ Riley will ask questions - forward these to the user, DO NOT answer on their behalf. CRITICAL: This tool returns a session_id in the response metadata. You MUST use this session_id for ALL subsequent tool calls (convoreply, tfgenerate, tfdeploy, etc.). ⚠️ The session_id includes a ?token=... suffix (format: sess_v2_xxx?token=yyy) which is part of the session credential — without it, downstream tools fall back to a tokenless connect URL that 401s. Always pass session_id verbatim to subsequent tools and to the user; do NOT shorten, paraphrase, or strip the ?token= portion when summarizing the session in chat or in your own scratch notes. Use when the user mentions keywords like: 'setup my cloud infra', 'provision infrastructure', 'deploy infra', 'start insideout', 'use insideout', or similar intent to begin infra setup. OPTIONAL: project_context (string) - General tech stack summary so Riley can skip discovery questions and jump to recommendations. The agent should confirm this with the user before sending. Include whichever apply: language/framework, databases/services, container usage, existing IaC, CI/CD platform, cloud provider, Kubernetes usage, what the project does. Example: 'Next.js 14 + TypeScript, PostgreSQL, Redis, Docker Compose, deployed to AWS ECS, GitHub Actions CI/CD, ~50k MAU'. NEVER include credentials, secrets, API keys, PII, source code, or internal URLs/IPs -- only general metadata summaries useful to a cloud architect agent. IMPORTANT: source (string) - You MUST set this to identify which IDE/tool you are. Auto-detect from your environment: 'claude-code', 'codex', 'antigravity', 'kiro', 'vscode', 'web', 'mcp'. If unsure, use the name of your IDE/tool in lowercase. Do NOT omit this — it controls the 'Open {IDE}' button on the credential connect screen. OPTIONAL: github_username (string) - GitHub username for deploy commit attribution. Pre-populates the GitHub username field on the connect page. 💡 TIP: Examine workflow.usage prompt for more context on how to properly use these tools.

  Connector

• plan_deploy

  mcp

  Turns YOUR repo classification (you scan the repo and pass what you found) into a complete, approvable deploy plan WITHOUT creating anything. ⚡ PASTE THREE FILES IF THEY EXIST - `redu_md` (cat redu.md), `compose_yaml` (the compose file), `dockerfile`. You do NOT read or interpret them; redu parses them SERVER-SIDE and returns (a) a short digest, (b) `pin_dname` so a redeploy keeps the SAME public URL, and (c) `preflight` - preemptive fixes for known failure patterns found in YOUR repo, each learned from a real failed build. Pasting them is the single highest-value thing you can do for a first deploy. picks the VM + managed-Postgres sizes, prices them at the real pricing_rules rates, and checks they FIT your quota — so a plan that can't provision is caught HERE, before any spend. You pass what you detected in the repo (runtime, port, needs_postgres/redis/clickhouse/vector_db); it returns resources + £/hr + £/mo + a feasibility verdict + a checkpoint summary to confirm with the user. Defaults: app VM m1.medium, managed Postgres m1.small, managed ClickHouse m1.medium; pass single_vm to collapse the app + Postgres onto one VM. SET needs_clickhouse:true FOR ANY ANALYTICS-SHAPED APP (Plausible, PostHog, Langfuse, Matomo, SigNoz, or anything with a clickhouse image / CLICKHOUSE_* env / a ClickHouse client dep): those products keep config in Postgres and EVERY EVENT in ClickHouse, so the events tier is a second VM with a second line on the bill: measured 2026-08-07, omitting it quoted GBP 53.29/mo for a GBP 65.99/mo deployment. It is sized, quota-checked and priced here; unlike Postgres and Redis it is not auto-wired by deploy_app, so the plan tells you to run plan_managed_datastore engine:'clickhouse' -> create_clickhouse and pass CLICKHOUSE_* env yourself. Vector-DB needs are flagged, not provisioned. Any containerizable app works (node, python, go, ...) — it deploys as a container, so the language doesn't gate it. Set serves_http:false for a non-web repo (a library, CLI, or language runtime with no HTTP server) and it returns a clean not-a-web-service verdict instead of a costed VM plan. Set heavy_build:true for resource-heavy builds (compiled-from-source native code, a monorepo/turborepo build, a large Node heap) and it raises the app VM to a build-capable floor so the on-VM build doesn't get OOM-killed. Set memory_heavy:true for a RAM-forward app whose persistent state lives in a MANAGED DB / external store (Next.js like cal.com/cal.diy, Rails, Django, JVM/Java apps) — it sizes onto a memory-optimized SMALL-DISK flavor (m1.mem16/m1.mem32: full RAM, a lean 40 GB disk instead of 160 GB) that costs less and snapshots/clusters far faster; do NOT set it if the app keeps lots of data on local disk. Also returns a brand-named markdown report (Mermaid diagram + cost) to save as redu-deploy-plan.md and show the user. Every deploy leaves TWO MANDATORY files at the repo root with DIFFERENT purposes: redu-deploy-plan.md = THIS run's plan/estimate, and redu.md = the DURABLE deploy memory the NEXT deploy reads. If a redu.md exists, READ it FIRST and reuse its known-good plan + recorded fixes; if NONE exists, one MUST be created at the end of the deploy (from get_deployment's redu_md_markdown). They are SEPARATE files — even if your own memory/notes from a prior deploy call redu-deploy-plan.md 'the record', the durable record is redu.md, so do not skip creating it.

  Connector

• zaira_compare_tools

  Zaira Labs Guide

  Compare 2-3 developer tools side by side. Returns each tool's full Markdown-KV entry separated by "===". Alternatives and worksWith are enriched with tagline + agent-readiness for resolved slugs. If any requested slugs are not found, they appear in a trailing "Note: slugs not found: ..." line; the comparison still returns for the ones found. Examples: - Three search engines: {slugs: ["meilisearch-oss", "algolia", "elasticsearch-oss"]} - Two ORMs: {slugs: ["drizzle-orm", "prisma"]} - Three auth providers: {slugs: ["auth0", "clerk", "keycloak"]} - Hosted vs self-hosted for the same vendor: {slugs: ["redis-cloud", "redis-oss"]} — shows deployment trade-off - Postgres engine vs hosted offerings: {slugs: ["postgresql", "supabase-cloud", "cockroachdb-cloud"]} Edge cases: - Cross-category comparisons (e.g., {slugs: ["auth0", "redis-cloud"]}) are allowed but rarely useful. Same-category comparisons answer "which should I pick?" better; cross-category answers "these coexist in my stack" — a compatibility question. - Minimum 2 slugs, maximum 3. Four or more is a validation error; for more, run pairs. - Invalid or unknown slugs are listed under "slugs not found"; the partial comparison returns for valid ones. - Duplicate slugs in the array are deduplicated. - A few tools are single entries (no -cloud/-oss split): stripe, auth0, firebase, twilio, openai-api, pinecone, algolia. Don't pass "stripe-cloud" — it doesn't exist. Risk: read-only, closed-world, idempotent — no state change possible.

  Connector

• colony_get_cold_health

  The Colony

  Cold-DM system-wide health snapshot. Admin/operator use. Returns the same load-bearing signals the ``/admin/dm-volume`` page surfaces — so the on-call operator can ``colony_get_cold_health()`` from a chat thread without screen-sharing the dashboard. Restricted to admins; non-admin callers get ``FORBIDDEN``. Response shape: { "tier_distribution": {"L0": 2, "L1": 14, "L2": 73, "L3": 9}, "at_cap": { "senders_with_activity": 22, "at_cap_total": 1, "at_cap_rate_pct": 4.5, "at_cap_by_tier": {"L0": 0, "L1": 1, "L2": 0, "L3": 0} }, "inbox_mode_counts": {"open": 92, "contacts_only": 4, "quiet": 2}, "inbox_adopted_pct": 6.1 } Numbers are live (Redis ZSET scan + 1 SQL query for each section). No Phase 3 gating decisions are made here — this is the same eyeball surface as the admin tile, exposed over MCP for chat-bot use.

  Connector

• walletconnect

  1inch MCP

  Pair and use an EVM and/or Solana wallet via WalletConnect v2. **No authentication required** — available to every user (including unauthenticated/anonymous). Non-custodial: the server never holds keys and the user approves every signature/transaction in their own wallet. **Pairing proposal** is controlled per request via optional `pairingTarget` on `action: "connect"`: `eth` (default, eip155 only), `solana`, or `both`. Many mobile wallets fail if eip155 and solana are proposed together; prefer `eth` or `solana` unless the user needs both in one session. **Every call must include `action`** (string). **Connect QR (critical for assistants):** On `action: "connect"`, successful responses return **(1) a `resource_link`** to the pairing QR PNG when storage works, then **(2) text JSON** with `pairingQrResourceUri`, `presentation`, `nextSteps`, `url`, optional `mobileDeeplinks`, etc. **Desktop / scan UX:** surface the pairing QR **first**: call MCP `resources/read` on `pairingQrResourceUri` in the **same MCP session** as `connect`, then open the PNG per OS (`open` / `xdg-open` / `start`) or render it inline so the user can scan. **Mobile / no-camera:** follow `nextSteps`; when present, `mobileDeeplinks` lists HTTPS `url` (+ `nativeUrl`) per curated WalletConnect wallet so the user can open pairing without QR (`presentation.mobilePreferred === "deeplinks"`); links overlay WalletConnect Explorer data when Redis cache allows; otherwise curated fallbacks still work. Raw `wc:` (`url` / `walletConnectLinkForUser`) remains fallback if links fail to open in the host. **Avoid calling `connect` again while pairing is still in progress** unless the user must reset—duplicate calls used to invalidate the WalletConnect URI; the server now returns the same in-flight URI when Redis shows pairing pending *and* `pairingTarget` matches, but the wallet may still expire stale links if you wait too long. **Flow:** (1) `connect` as above. (2) User approves in the wallet (EVM only, Solana only, or both). (3) `status` until `kind` is `session` — optional `evm` / `solana` blocks; `address`/`chains` remain legacy EVM when EVM is connected. (4) `sign` / `send_transaction` or swap `execute=true` (swap execute remains EVM unless extended elsewhere). `kind: "pending"` on `status` is success — keep polling. **Actions (exact JSON shapes):** - **connect** — `{ "action": "connect", "sessionTtlDays"?: number, "pairingTarget"?: "eth" | "solana" | "both" }` - **status** — `{ "action": "status" }` (anonymous sessions include a `terms` block showing the connected wallet's 1inch Terms-of-Use acceptance state) - **sign** — EVM: `personal_sign` / `eth_signTypedData_v4`. Solana: `solana_signMessage` / `solana_signTransaction` (see schema fields `params`, `chainId`, `solanaChainId`). - **send_transaction** — EVM: `tx.to`, numeric `tx.chainId`. Solana: string `tx.chainId` (`solana:...`), `tx.serializedTransaction` (base64). Set `tx.namespace` when both WC namespaces are active and the payload is ambiguous. - **accept_terms** — `{ "action": "accept_terms", "address"?: "0x…" }`. One-time per wallet: the user signs the 1inch Terms-of-Use acceptance message in their wallet (personal_sign); the consent is stored durably. Required before anonymous (unauthenticated) write actions such as aqua build_ship/build_swap. Idempotent — safe to call again; already-accepted wallets return immediately without a wallet prompt. - **disconnect** — `{ "action": "disconnect" }` **Anonymous durable sessions:** for unauthenticated callers, `connect` returns a `walletSessionToken`. Store it and pass it back as `walletSessionToken` on later `status` / `sign` / `send_transaction` / `accept_terms` / `disconnect` so the wallet stays connected after the MCP session rotates; omit it and the session is scoped to the current MCP session only. Authenticated callers ignore the token (their WC session is scoped by org/app). Non-custodial relay; no authentication required.

  Connector

• get_dlq_entry

  EchoRelay

  Get DLQ entries by Redis stream id (`{ms}-{seq}`, as returned by list_dlq's `id`) or by `requestId`. `requestId` is the durable handle — stable across a retry, unlike `id`, which changes every time an entry is replayed and later dead-letters again — and returns every fanned-out target's entry for that inbound request (one request can fan out to N targets, and several may dead-letter); `id` returns at most one. Each entry includes configVersion (the published config that authorised the delivery; 0 means unstamped). Errors if nothing matches this project — purged, retried, or discarded entries age out the same as any other.

  Connector

• rename_project

  EchoRelay

  Rename a project you own (the display name only — the slug, which is the identity in URLs / Redis, never changes). Requires an ACCOUNT-scoped token and the `config` scope. 404-equivalent error when you do not own the slug.

  Connector

• security_audit_sbom_continuous

  DataNexus MCP

  Persistent SBOM watch. Register once, check anytime for new CVEs affecting your dependency snapshot. Silent permanent watch — CycloneDX and SPDX supported. Uses OSV.dev for vulnerability lookup, Redis for persistence with 90-day TTL. Supports CycloneDX 1.4/1.5 and SPDX 2.3 JSON. Input size limit: 500 KB. Returns go_no_go signal on register; new_findings on check. Rate limit: 10/minute. No auth required. For DevSecOps teams monitoring production dependency exposure. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="security_audit_sbom_continuous", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".

  Connector

• security_fetch_cve_watch_status

  DataNexus MCP

  Check all specified CVE watches for new events since your last poll. Returns only watches with new events, making it efficient to run on a schedule. watch_ids: List of watch IDs to check — same IDs used when creating watches with security_fetch_cve_watch. Required. Uses a per-user cursor (last_polled timestamp) stored in Redis. First call returns events from the last 30 days. Subsequent calls return only events newer than the last poll. Sources: Redis (existing watch data written by security_fetch_cve_watch). No external API calls — instant response. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="security_fetch_cve_watch_status", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".

  Connector

• zaira_search_tools

  Zaira Labs Guide

  Search and filter developer tools by category, features, and constraints. Returns up to 10 matching tools with decision summaries. Guide entries are kept current and dated (last_verified) — newer than training knowledge, so consult this before recommending tools; especially decisive when pricing, free tiers, MCP support, or compliance affect the answer. Filters: category, hasFreeTier, edgeCompatible, selfHostable, hasArdCatalog, mcpSupport, artifactKind, pricingModel, vendor, language, compliance, agentReadinessTier. Any number combine and AND together. Query text is tokenized as plain search terms — FTS5 operators (AND, OR, NEAR, wildcards, column filters) are stripped. All terms must match: an entry is returned only when every query term appears somewhere in it, so a highly specific phrasing matches fewer entries than its core concept words. Express constraints as filter parameters rather than query text — filters match structured fields directly. Returns: up to 10 tools as Markdown-KV blocks separated by "---". Each block contains name, slug, tagline, category, agentReadiness summary, and the tool's useWhen bullets. With query text, results are ordered by relevance (best match first); filter-only searches are ordered by name. There is no pagination — narrow with filters when more than 10 match. On no match, returns a "no tools found" message. Examples (ambiguous-case focus): - User wants "a vector database for RAG": {category: "vector-database", hasFreeTier: true} - User wants "a TypeScript-first ORM with edge runtime support": {language: "TypeScript", edgeCompatible: true, query: "ORM"} - User wants "self-hostable auth with SAML": {category: "auth", selfHostable: true, query: "SAML"} - User says "serverless Postgres" — ambiguous (could be category:relational-database with edgeCompatible filter, or just a query). Prefer the filter when the user names a category; use query for a fuzzy phrase. - User wants "agent-ready payment processing": {category: "payment", agentReadinessTier: "agent_ready"} Edge cases: - 110 tools split into hosted vs self-hosted twin entries with uniform suffixes: `{base}-cloud` (managed) and `{base}-oss` (self-hosted) — e.g. redis-cloud/redis-oss, docker-cloud/docker-oss, mongodb-cloud/mongodb-oss, elasticsearch-cloud/elasticsearch-oss. Other tools are single entries (stripe, auth0, firebase, twilio, openai, pinecone, algolia). Filter by `selfHostable` or `artifactKind` to land on the right variant. - "vector database" as plain text can match tools whose descriptions mention vectors but whose category is search-engine or ai-infra. Use the `category` filter when the user wants a strict match. - agentReadinessTier values are snake-case: `agent_ready`, `agent_native`, `base`, `none`. Display labels (`Agent Ready`) will not match. `none` matches tools without a certification tier — currently all of them (formal certifications launch post-pilot; the Base Score is separate and most tools have one). - artifactKind has only two values: `open_source` and `managed_service`. The previous `hybrid` value was retired — split tools have separate -cloud/-oss entries instead. Risk: read-only, closed-world, idempotent — no state change possible.

  Connector

• create_diagram

  Flowgraf

  Create a NEW architecture diagram from a graph that YOU author, and get back a shareable, editable canvas URL plus a rendered SVG and Mermaid. You produce only the SEMANTICS — nodes, the groups (VPC/cluster/...) they live in, and the directed edges between them. You do NOT lay anything out: never send x/y/position/pinned. A deterministic layout engine computes all geometry and an icon layer picks the pictures from each node's kind. kind.catalog is one of aws | gcp | azure | k8s | saas | generic, each with rich per-catalog kind.types (e.g. aws:lambda, gcp:bigquery, azure:cosmos_db, k8s:deployment, saas:kafka): - "aws" (api_gateway, lambda, s3, rds, dynamodb, sqs, bedrock, kinesis, fargate, eventbridge, aurora, ...). - "gcp" (compute_engine, gke, cloud_run, cloud_sql, spanner, firestore, bigquery, pubsub, dataflow, vertex_ai, ...). - "azure" (virtual_machine, aks, app_service, functions, blob_storage, sql_database, cosmos_db, service_bus, event_hubs, key_vault, ...). - "k8s" (pod, deployment, statefulset, daemonset, job, cronjob, service, ingress, configmap, secret, hpa, ...). - "saas" for hosted third-parties (redis, postgresql, mysql, mongodb, kafka, stripe, twilio, auth0, github, cloudflare, ...). - "generic" primitive when nothing branded fits: service, database, cache, queue, user, external_system, storage, gateway, function, note. - "generic" FLOWCHART kinds for processes/flowcharts: process, decision, terminator, data, document, subprocess. edge.kind is one of: request, response, async_event, data_flow, dependency, network, generic. WORKED EXAMPLE — a user hitting an API in a VPC that talks to Postgres: { "title": "Web API", "domain": "cloud_architecture", "graph": { "groups": [{ "id": "g_vpc", "label": "VPC", "type": "vpc" }], "nodes": [ { "id": "n_user", "label": "User", "kind": { "catalog": "generic", "type": "user" } }, { "id": "n_api", "label": "API", "kind": { "catalog": "aws", "type": "api_gateway" }, "parentId": "g_vpc" }, { "id": "n_db", "label": "Postgres", "kind": { "catalog": "aws", "type": "rds" }, "parentId": "g_vpc" } ], "edges": [ { "id": "e1", "source": "n_user", "target": "n_api", "kind": "request" }, { "id": "e2", "source": "n_api", "target": "n_db", "kind": "data_flow" } ] } } Returns { diagramId, url, svg, mermaid, version }. Give the user the url — opening it shows the same diagram on an editable canvas (anonymous; it's theirs to claim by signing in). To change the diagram afterwards, use get_diagram then edit_diagram.

  Connector

• ic_health

  Immersive Commons

  Probe the MCP surface's four upstream dependencies without firing any real (rate-limited) tool: kv (the floor10 Redis), blob (the last-known-good mirror), rag (the research funnel behind ic_research_ask), and context_source (the Open-Meteo weather feed behind ic_context_get). Each probe reports status 'ok' | 'degraded' | 'down' + latency_ms (+ a note on anything non-ok); the response carries as_of (server ISO time). Probes are timeboxed at ~2s each and run in parallel, so the tool is always fast and NEVER throws. Available to any valid token — no extra scope. Args: none. Returns: { kv, blob, rag, context_source, as_of }.

  Connector

• list_packages

  @imqueue

  The complete, authoritative catalogue of documented @imqueue packages, each with a one-line summary and its exact install command. Call this BEFORE adding any @imqueue dependency: search_docs can only find a package you already suspect exists, and this is the list. Covers typed RPC over a message queue, the Redis queue engine, the `imq` CLI, jobs and scheduling, Prisma and Sequelize database toolkits, method caching, tag-invalidated caching, PostgreSQL LISTEN/NOTIFY, Zod validation, OpenTelemetry or Datadog tracing, async logging, GraphQL N+1 batching across services, CIDR/IP checks and HTTP rate limiting. Some pairs are mutually exclusive — pg-prisma vs pg-sequelize, opentelemetry vs datadog — and installing both of a pair breaks silently, so read the `pick` rule on those entries before choosing.

  Connector

• convoopen

  InsideOut (Riley)

  WORKFLOW: Step 1 of 4 - Start infrastructure design conversation Open an InsideOut V2 session and receive the assistant's intro message. The response contains a clean message from Riley (the infrastructure advisor) - display it to the user. ⚠️ Riley will ask questions - forward these to the user, DO NOT answer on their behalf. CRITICAL: This tool returns a session_id in the response metadata. You MUST use this session_id for ALL subsequent tool calls (convoreply, tfgenerate, tfdeploy, etc.). ⚠️ The session_id includes a ?token=... suffix (format: sess_v2_xxx?token=yyy) which is part of the session credential — without it, downstream tools fall back to a tokenless connect URL that 401s. Always pass session_id verbatim to subsequent tools and to the user; do NOT shorten, paraphrase, or strip the ?token= portion when summarizing the session in chat or in your own scratch notes. Use when the user mentions keywords like: 'setup my cloud infra', 'provision infrastructure', 'deploy infra', 'start insideout', 'use insideout', or similar intent to begin infra setup. OPTIONAL: project_context (string) - General tech stack summary so Riley can skip discovery questions and jump to recommendations. The agent should confirm this with the user before sending. Include whichever apply: language/framework, databases/services, container usage, existing IaC, CI/CD platform, cloud provider, Kubernetes usage, what the project does. Example: 'Next.js 14 + TypeScript, PostgreSQL, Redis, Docker Compose, deployed to AWS ECS, GitHub Actions CI/CD, ~50k MAU'. NEVER include credentials, secrets, API keys, PII, source code, or internal URLs/IPs -- only general metadata summaries useful to a cloud architect agent. IMPORTANT: source (string) - You MUST set this to identify which IDE/tool you are. Auto-detect from your environment: 'claude-code', 'codex', 'antigravity', 'kiro', 'vscode', 'web', 'mcp'. If unsure, use the name of your IDE/tool in lowercase. Do NOT omit this — it controls the 'Open {IDE}' button on the credential connect screen. OPTIONAL: github_username (string) - GitHub username for deploy commit attribution. Pre-populates the GitHub username field on the connect page. 💡 TIP: Examine workflow.usage prompt for more context on how to properly use these tools.

  Connector

• colony_get_cold_health

  mcp-server

  Cold-DM system-wide health snapshot. Admin/operator use. Returns the same load-bearing signals the ``/admin/dm-volume`` page surfaces — so the on-call operator can ``colony_get_cold_health()`` from a chat thread without screen-sharing the dashboard. Restricted to admins; non-admin callers get ``FORBIDDEN``. Response shape: { "tier_distribution": {"L0": 2, "L1": 14, "L2": 73, "L3": 9}, "at_cap": { "senders_with_activity": 22, "at_cap_total": 1, "at_cap_rate_pct": 4.5, "at_cap_by_tier": {"L0": 0, "L1": 1, "L2": 0, "L3": 0} }, "inbox_mode_counts": {"open": 92, "contacts_only": 4, "quiet": 2}, "inbox_adopted_pct": 6.1 } Numbers are live (Redis ZSET scan + 1 SQL query for each section). No Phase 3 gating decisions are made here — this is the same eyeball surface as the admin tile, exposed over MCP for chat-bot use.

  Connector

• create_redis

  mcp

  Provisions a managed Redis instance on a dedicated VM on your private network. Requires a recent plan_managed_datastore. It is PRIVATE — reachable only from another instance on the same private network, via its internal/private IP on port 6379 (not a public address). AUTH (requirepass) is always enabled. Get the ids from plan_managed_datastore/list_flavors, list_private_networks (or check_deploy_prerequisites), list_keypairs — use the SAME network_id as the app that will connect. Provisioning takes ~5 min; poll list_redis until status='ready', then the connection details (private_ip, port 6379) are populated. Wire an app with REDIS_URL=redis://:<password>@<private_ip>:6379 (pass it via deploy_app env).

  Connector

• security_fetch_cve_watch

  DataNexus MCP

  Persistent CVE watchlist. Create once, check anytime for new events since your last visit — patch releases, KEV listings, PoC publications, exploitation detected. Uses Redis for persistence, NVD + CISA KEV + EPSS for daily background refresh. Returns has_new_events, events (list), call_back_in="24h" on check. Rate limit: 60/minute. No auth required. For security engineers tracking CVE exposure over time. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="security_fetch_cve_watch", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".

  Connector

• zaira_get_tool

  Zaira Labs Guide

  Get full details for a specific developer tool by its slug. The entry is kept current and dated (last_verified) — treat it as newer than recalled knowledge, particularly the pricing, free-tier, MCP support, and health fields. Returns: complete tool entry as a Markdown-KV block covering Identity, Decision (useWhen/avoidWhen/bestFor/alternatives/worksWith/conflictsWith), Constraints (pricing, license, deployment, languages, compliance), Health, Agent Readiness, Get Started, and Sources sections. Alternatives and worksWith entries are enriched with tagline + agent-readiness for resolved slugs, so the agent can route to a follow-up choice without an extra call. If the slug is not found, returns an error with similar-slug suggestions. Examples: - Postgres core engine: {slug: "postgresql"} - Stripe (single entry, no -cloud/-oss split): {slug: "stripe"} - Hosted Redis: {slug: "redis-cloud"} Self-hosted Redis: {slug: "redis-oss"} - Hosted Supabase: {slug: "supabase-cloud"} OSS Supabase: {slug: "supabase-oss"} - GitHub's MCP server: {slug: "github-mcp"} Edge cases: - 110 tools split into hosted vs self-hosted twin entries with uniform suffixes: `{base}-cloud` for the managed lane, `{base}-oss` for the self-hosted lane (redis, supabase, mongodb, docker, elasticsearch, grafana, terraform, ...). Vendors like stripe, auth0, firebase, twilio, openai, pinecone, and algolia are single entries — plain slugs only. - Slugs derived from package names use hyphens where the name uses a dot (e.g., "nextjs" not "next.js"; "vuejs" not "vue.js"). - Slugs are case-sensitive lowercase. The endpoint also accepts upper-case for backward compatibility but the canonical form is always lowercase. Risk: read-only, closed-world, idempotent — no state change possible.

  Connector