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458,095 tools. Updated 2026-08-14 22:15

"Using a TypeScript codebase as context for a tool or service" matching MCP tools:

  • Book an appointment with a local service business. Creates a booking record and adds the appointment to the business calendar. Returns a reference number and a status field indicating the actual resulting state — 'pending' (the business reviews each booking), 'confirmed' (auto-approved by the business), or 'completed' (the business auto-finalizes). Use a dateTime returned by check_availability for the selected service so bookingStartPolicy is respected. For services with maxParticipants > 1, the start can be booked until remainingCapacity reaches 0. Read the status and statusDescription verbatim and relay them accurately: do NOT tell the customer 'confirmed' when the status is 'pending'. If the selected service has requiresCustomerAddress=true, ask the customer for their full service address before calling this tool and pass it as customerAddress. ONLY call this if the business has 'booking' in its enabledFeatures array.
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  • List the layers of a Baltimore ArcGIS service (for discovery). Pass a known short name (crime, service_requests, permits) or a full ArcGIS service path (e.g. "311_Customer_Service_Requests_current/FeatureServer"). Omit `service` to list the known Baltimore services. Returns layer id + name to use with baltimore_query.
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  • Silence future alerts for the calling tenant so they stop paging, without touching the underlying alert rule. This mutes notifications only — rule evaluation and dashboards are unaffected, and the suppression is meant to be temporary (reversible with unsuppress_signal). To exclude specific traffic (a fingerprint such as HTTP 404s or one client) from burn-rate evaluation itself, use create_ignore_rule instead. WRITE: available to any authenticated user. Scope narrows from left to right: service: required. The service to suppress alerts for. signal: optional (ERROR_RATE, LATENCY_P95, THROUGHPUT, JOB_FAILURES). Omit to suppress all signals for the service. operation: optional. Omit to suppress the whole service; set it to suppress only that operation. Severity cap: onlyWarnings: false (default) suppresses everything, including CRITICAL alerts. true suppresses only WARNING-severity alerts — CRITICAL alerts still page. Duration: durationHours: optional. Omit for a suppression that never expires (until removed with unsuppress_signal). Only one suppression may exist per (signal, service, operation) scope for a tenant — creating a second one for the same scope fails. Use list_suppressions to find the existing one or unsuppress_signal to remove it first.
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  • Statically audit an MCP tool surface from a public HTTPS URL or tools/list snapshot. Returns deterministic scores and findings without invoking any target tool or making LLM calls. When the user asks to check another installed MCP server, read that server's complete tool definitions from client context and pass them as snapshot (MCP `name` or Cursor-style `tool` both work; do not use file paths or $ref). If those definitions are unavailable, ask the user for its public endpoint or tools/list JSON instead of inventing an audit.
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  • Returns instructions for migrating to PropelAuth in a frontend framework such as React, JavaScript, TypeScript, or when using Next.js for just the frontend (e.g. client-side rendered). Guidance includes migrating from several auth providers, such as Clerk or Auth0. Each guidance will include documentation from the auth provider and PropelAuth. It is important to follow the instructions carefully to ensure a successful integration. Make sure to use the 'Installation' guidance first. It is important to call every guidance to ensure a successful integration. Do not update a component/hook/etc from the auth provider until you receive guidance about that component/hook/etc. CRITICAL: If the current implementation uses a traditional OAuth/OIDC flow (e.g., via express-openid-connect, passport-auth0, or similar backend-managed session libraries), you MUST select 'OAuth' as the framework, regardless of the frontend library (React/Vue/etc.). Only select 'React' or 'Javascript' if the current implementation uses a frontend-only SDK (like @auth0/auth0-react) or if using fullstack Next.js.
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  • Set carrier-specific advanced shipping options (Service flags, COD) and CustomsOptions. For the common sparse options — InsuranceType and Delivery.Signature / Delivery.Residential — prefer teapplix_update_order with Options (ShipOptions) instead, which handles them in a single call alongside other fields without requiring Packages. Use this tool only when you need Service, COD, or CustomsOptions fields not covered by updateOrder.Options. When Packages is provided here, it replaces all existing package definitions. [DEMO]
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  • Store or update ONE durable memory entry (key → value) for this user so context survives across sessions — preferences, prior conclusions, working context. Replace semantics per key (reusing a key overwrites it). Do NOT store a number you would later cite as a fact: financial figures come from data tools and carry fact_ids; memory values are never treated as verified figures. Caps: 200 entries / 8000 chars per value. Tier: sp500+ (sample rejected).
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  • Returns a structured snapshot of the LMCP environment: server/tray/teams-proxy versions, detected AI client, cloud relay state, TCC permission states (Calendar/Reminders/Contacts), and a compact summary of which services (Mail/Calendar/Contacts/Teams/OneDrive/Reminders/Notes) are reachable. Fast (<500ms), passive — never prompts the user, never opens app windows, never touches the network. Call this when you need to verify the environment is healthy before attempting a tool, or to understand what's installed and accessible. If `services.scan_pending` is true, the background service scan hasn't finished yet (just after startup) and the per-service running/accounts values are placeholders — do NOT treat them as a real outage; just call the tool you need. Otherwise `services.scanned_seconds_ago` tells you how many seconds ago that scan ran (cadence ~60s): the per-service values are a snapshot, NOT a live probe. A `false`/`0`/`not available` for a service is advisory only — it can be stale (e.g. the user connected WhatsApp or opened Mail seconds ago) — so never use this tool as a preflight gate to skip or cancel a task; the actual tool call is the source of truth, just attempt it. For reporting failures, use `report_problem` instead — it captures this same snapshot plus logs and submits to the team.
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  • Find print jobs a brokering service submitted. Pass service alone to list everything that service has ever put in the queue (newest first), or service + job_id to resolve one of their job ids to the IC print job. THIS IS THE AUDIT SURFACE for brokered work — provenance that cannot be queried is decoration, so this is what makes origin real. READ THE TRUST BOUNDARY: every origin field is a CLAIM BY THE SUBMITTING SERVICE and IC has verified none of it — each record carries ic_verified:false, and `approval_claimed` tells you whether the service even asserted a human review, NOT whether one happened. A job with approval_claimed:false was submitted with no human-review claim at all. Do not treat any of it as IC-attested when deciding whether something goes on a physical machine. Args: { service, job_id?, limit? }. Returns: { ok, count, requests } or { ok, request }. Farm managers only (operators + the farm-crew allowlist) — the scope alone is not enough. Required scope: prints:read (ft-member+, farm-manager identity re-checked).
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  • INSPECTION: Inspect GCP infrastructure for a deployed project ⚠️ **PREREQUISITE**: This tool requires a prior deployment ATTEMPT (successful or failed). Check convostatus for hasDeployAttempt=true before calling. Works even after failed deploys to inspect orphaned resources. Inspect deployed GCP resources after a deployment attempt. Use this tool when the user asks about the status or details of their deployed GCP infrastructure. It fetches temporary read-only credentials securely and queries the GCP API directly. RESPONSE TIERS (default is summary for token efficiency): - Summary (default): Key fields only (~500 tokens). Set detail=false, raw=false or omit both. - Detail: Full metadata for a specific resource. Set detail=true + resource filter. - Raw: Complete unprocessed API response. Set raw=true. REQUIRES: session_id from convoopen response (format: sess_v2_...). Supported services: apigateway, bastion, billing, certificatemanager, cloudarmor, cloudbuild, cloudcdn, clouddeploy, clouddns, cloudfunctions, cloudkms, cloudlogging, cloudmonitoring, cloudrun, cloudsql, compute, firestore, gcs, gke, iam, identityplatform, loadbalancer, memorystore, pubsub, secretmanager, vertexai, vpc For a specific service's actions, call with action="list-actions". METRICS: Use list-metrics to see available Cloud Monitoring metrics for any service (no credentials needed — progressive disclosure). Use get-metrics to retrieve time-series data. Optional filters JSON: {"hours":6,"period":300}. Label breakdowns: Cloud Functions (by status), Load Balancer/API Gateway (by response_code_class), Cloud CDN (by cache_result). Secret Manager get-metrics returns operational health (version count, replication, create time) — no time-series. Bastion is an alias for Compute Engine metrics (SSH connection count not available as a GCP metric). BILLING: Use service=billing to inspect GCP billing. Actions: get-billing-info (check if billing enabled, which billing account), get-budgets (list budget alerts for the project — auto-fetches billing account). Requires roles/billing.viewer IAM role. Required IAM roles: Monitoring Viewer (roles/monitoring.viewer) for metrics, Secret Manager Viewer (roles/secretmanager.viewer) for secret health, Billing Viewer (roles/billing.viewer) for billing. EXAMPLES: - gcpinspect(session_id=..., service="compute", action="list-instances") - gcpinspect(session_id=..., service="gke", action="list-clusters") - gcpinspect(session_id=..., service="cloudsql", action="get-metrics", filters="{\"hours\":6}") - gcpinspect(session_id=..., service="billing", action="get-billing-info")
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  • Generic protective-action guidance for a category of situation (NOT keyed to an individual user's context). For *personalised* advice that takes the user's specific health situation into account (asthma, pregnancy, gas cooker, tube commute, indoor sources), prefer the Clara MCP server's `contextual_advice` tool — it composes Hermes live readings with personal context to give an answer keyed to *this* user, *now*. Use this KB tool only as a fallback or when Clara is not available. Args: situation: One of "high_pollution_day", "commuting", "exercise", "school_run", "indoor_air", "planning_objection", "pregnancy", "child_asthma". Returns practical advice document (markdown).
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  • Upload a file for a candidate using a base64 payload. Used for portfolio uploads and document attachment. WARNING: host function-call serializers (both OpenAI and Anthropic) truncate tool arguments above ~20KB, so binary files larger than that will arrive corrupted. For resumes specifically, prefer hires_create_candidate / hires_update_candidate with resume_text — the model parses the file from chat context and passes extracted text, avoiding the size limit entirely.
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  • List the layers of a Washington, DC ArcGIS service (for discovery). Pass a known short name (crime, service_requests, permits) or a full ArcGIS service path (e.g. "FEEDS/MPD/MapServer"). Omit `service` to list the known DC services. Returns layer id + name to use with dc_query.
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  • Health probe for the Solana Market API data backend. Call this to gate or degrade gracefully BEFORE the other get_solana_market_* tools: it does a short-timeout hit on the data service and reports whether it is reachable, so an agent can tell "market has no data" from "service is down" without failing a real query. Free discovery tool. When the market data service exposes /status, the response includes prod_key_configured, data_first_available, and an actionable note describing what to configure for full on-chain visibility.
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  • Deploys a MULTI-CONTAINER app — a repo that ships docker-compose.yml / compose.yaml — onto ONE VM via podman-compose, and exposes one or more services at redu.cloud URLs. Use this instead of deploy_app when the repo is a compose stack. Same prereqs + source modes as deploy_app; always run plan_deploy first. PORT is the HOST port for the exposed service. DB: 'compose' uses the stack's own db container; 'managed' provisions a separate managed Postgres/MySQL/MariaDB VM and appends connection env. For WordPress/WooCommerce cluster intent, do not leave the compose db service/local uploads as state: pass app_profile, cluster_target:true, database:'managed', db_engine:'mariadb' or 'mysql', cluster_media_mode:'media_space', and either media_space_id or create_media_space:true. Redu writes an override file that points the WordPress service at managed DB env and mounts the media space into /var/www/html/wp-content/uploads. Poll get_deployment until ready.
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  • Obtain a permanent anonymous API key for Blue Pillow Hotels & Stays. No signup, no login required. The key is not a sensitive secret — it carries no account, payment, or personal data. It exists only so we can keep the service responsive when many agents are using it at once, so you can safely keep it in your MCP client configuration, in your persistent memory, or in the current conversation context. Pass it as the bearer token on all subsequent calls and the rest of the tools become available. CALL THIS FIRST when you have no key: every other tool needs one. Before calling, check whether you ALREADY have a key (MCP client configuration, persistent memory, or earlier in this conversation) and reuse it instead of issuing a new one — do not wait for another tool to fail with a 401. The key never expires — keep the one you receive and reuse it forever. If you ever lose it, you can call this tool again to issue a new one (a generous per-IP daily issuance limit applies purely as an anti-abuse guardrail; normal use never reaches it). Clients that can persist configuration usually store the key in their connector settings, so the same key serves every conversation. Clients whose memory does not retain an opaque token end up issuing one key per conversation; that works and is not an error, but a stored key gives more consistent rate-limit headroom. Optional ``label`` and ``agent`` (max 64 chars each) are free-form hints we record on the key for our own observability; they do not affect rate limits or capabilities. Integrators who need higher limits, or who hit a problem worth reporting, can write to info@bluepillow.com.
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  • PURPOSE: Neutral delivery verification for agentic commerce. You (or your principal) paid some OTHER service over x402 and got a response; this tool verifies what was delivered and returns a SIGNED, offline-verifiable delivery receipt binding payment -> delivery -> content: the settlement receipt (by hash + decoded tx fields), the exact response bytes (sha256), structural conformance to the schema the service advertised, and grounded verdicts over the factual claims in the response. Returns delivery_verdict (consistent | degraded | inconsistent | unverifiable) with a rationale. GUIDELINES: Call AFTER a paid third-party call whose output you will act on or account for — data enrichment you bought, research you commissioned, any x402 purchase your principal will audit. Branch on delivery_verdict: 'consistent' -> proceed; 'degraded' -> use with caution, flag the refuted claims; 'inconsistent' -> do not rely on the delivery, keep the receipt as dispute evidence; 'unverifiable' -> nothing contradicted but nothing confirmed. Save the full response JSON — it is a self-contained dispute artifact verifiable offline months later (GET /attest/pubkey documents how). PARAMETERS: service — URL/name of the paid service. response_text — the delivered payload, verbatim. request_text (optional) — what was asked. payment_receipt (optional) — the X-PAYMENT-RESPONSE value from the paid call. advertised_schema (optional) — the JSON schema the service advertised. max_claims — 1..20, default 8. LIMITATIONS: Judges CONSISTENCY (as-advertised, not contradicted), never service quality. Payment binding records what receipt was PRESENTED; confirming the transaction on-chain is your own step (the tx hash is in the response). Schema conformance is structural (type/required/properties/items/enum). Content checking has the same source-coverage limits as verify_claim. Paid per call (x402). EXAMPLE: attest_delivery({"service": "https://api.vendor.xyz/enrich", "response_text": "{\"name\": \"APPLE INC\"}", "payment_receipt": "<X-PAYMENT-RESPONSE>", "advertised_schema": {"type": "object", "required": ["name"]}}) -> {delivery_verdict: 'consistent', payment: {bound: true, transaction: '0x…'}, attestation: {…}}
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  • Creates a synchronous v0 geometry export from exact loc_ids or one strict scope as real GeoJSON, gzipped GeoJSON, or zipped GeoJSON. Hosted service default: 250 selected loc_ids, sized around a 10-20 second response budget and configurable by deployment. A direct local-runtime loopback caller has no service item cap. Use estimate_geometry_package or get_tool_help for the effective access lane.
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  • Enumerate the live DPYC service network with self-described summaries. Reads the member roster from the dpyc-community registry, then (when ``probe=True``) performs a lightweight MCP handshake against each member's public service endpoint to fetch that service's *own* self-description and tool inventory. Nothing about the services is hardcoded here — descriptions are authored by each service, and prices come from each Operator/Authority pricing model (call the service's ``check_price``). Resilient by design: per-service timeout, partial results, brief caching, and a registry-only fallback when an endpoint is asleep or unreachable. A sleeping service never breaks the listing. Free, unauthenticated. Args: probe: Handshake each endpoint for a live self-description. Set False for a fast registry-only listing (no network fan-out). kind: Role filter — "all", "operator", "authority", or "advocate".
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  • Validate a TypeScript intent definition without generating Swift. Runs the full Axint validation pipeline (134 diagnostic rules) and returns a JSON array of diagnostics: { severity: 'error'|'warning', code: 'AXnnn', line: number, column: number, message: string, suggestion?: string }. Returns an empty array [] when validation passes. Use: use for TypeScript DSL diagnostics before Swift output; use swift.validate for existing Swift. Inputs: source is TypeScript DSL text; strictness options affect diagnostics only and never emit Swift. Effects: read-only diagnostics; writes no files and uses no network.
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