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466,169 tools. Updated 2026-08-19 11:29

"Resources to Become an Expert in LangChain" matching MCP tools:

  • Create a demo cloud simulation from a list of resources and connections (max 2 per session, up to 10 resources; demo simulations are temporary and are cleaned up after roughly 30 minutes or when the session ends). If you don't have an architecture in mind, call `scenario.list` first — its `resources` and `connections` arrays can be passed directly here. Use it to start any simulation workflow — either with resources from scenario.list or your own architecture. Do not use it to modify an existing simulation (use simulation.inject_traffic to change load). To give a resource an explicit capacity, set characteristics.capacityRps — the literal per-node RPS ceiling at which CPU reaches ~95%; do not use maxThroughput for this (it is a legacy internal scaling parameter with different semantics). To bound the autoscaled fleet size, set the top-level maxInstances / minInstances parameters. If you do not set maxInstances, the engine uses the provider default — AWS 50, GCP 15, Azure/OCI/DigitalOcean 10 — which may be much larger than your intended fleet size. The response includes effectiveMaxInstances / effectiveMinInstances so you can confirm the bounds that will be enforced. Responses are compact by default: id, name, status, traffic, and a per-resource summary (id, name, status, cpuPercent). Pass responseMode: 'full' to get the complete simulation object instead. No prerequisites. Returns the created simulation's id, which every other simulation.* tool consumes; the new simulation also becomes this session's current simulation, so subsequent per-simulation tools may omit simulationId. The likely next tool is simulation.step to advance time. Do not call api.spec to learn the simulation workflow — the tool descriptions in this session contain everything needed. Authenticate with an API key for unlimited persistent simulations.
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  • Call this ONLY when the user explicitly asks to contact, reach out to, or request a quote/appointment from a Payotte-listed professional. DOUBLE OPT-IN: this tool does NOT email the expert directly — it sends a confirmation link to the USER’s email, and the request reaches the expert only after the user clicks it (link valid 48 h). Tell the user to check their inbox. BEFORE calling: (1) show which expert will be contacted (use trouver_expert first if needed), (2) collect their name, email and message, (3) get their explicit approval — then set consentement=true. Never invent contact details. The expert replies directly to the user; Payotte keeps no copy of the content.
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  • Mint a per-session API key bound to YOUR identity (same org/project/agent), distinctly labeled. The watchdog proxy calls this once at startup and uses the returned key, so concurrent sessions of one agent become distinguishable in queue_status/whoami. Same access as your key — no privilege change. The raw key is returned ONCE. If this call is refused for billing (BILLING_INACTIVE or MONTHLY_CAP_REACHED), the response carries `tellHuman`, a ready-to-relay sentence: PASS IT TO YOUR HUMAN. You cannot fix it yourself — only an owner can — so do NOT absorb the refusal and continue with read-only work as if the session were healthy; every value-bearing write will keep failing until they act.
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  • Cast your expert +1 or -1 review on any entity. Use AFTER evaluating a tool you searched for or tried. Expert reviews are 70% of ranking. One review per agent per entity (overwrites previous). Requires agent_key. For no-auth alternative, use nanmesh.trust.favor instead. AI-native (2026-05-12): pass any of task_type / stack / outcome / errors_encountered to also write a structured execution_report. Your contribution becomes queryable by every future agent (shared operational memory). Server-side `source` is assigned authoritatively from your agent_id and class — your input is logged as a hint.
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  • Update a database user for a Cloud SQL instance. A common use case for the `update_user` is to grant a user the `cloudsqlsuperuser` role, which can provide a user with many required permissions. This tool only supports updating users to assign database roles. * This tool returns a long-running operation. Use the `get_operation` tool to poll its status until the operation completes. * Before calling the `update_user` tool, always check the existing configuration of the user such as the user type with `list_users` tool. * As a special case for MySQL, if the `list_users` tool returns a full email address for the `iamEmail` field, for example `{name=test-account, iamEmail=test-account@project-id.iam.gserviceaccount.com}`, then in your `update_user` request, use the full email address in the `iamEmail` field in the `name` field of your toolrequest. For example, `name=test-account@project-id.iam.gserviceaccount.com`. Key parameters for updating user roles: * `database_roles`: A list of database roles to be assigned to the user. * `revokeExistingRoles`: A boolean field (default: false) that controls how existing roles are handled. How role updates work: 1. **If `revokeExistingRoles` is true:** * Any existing roles granted to the user but NOT in the provided `database_roles` list will be REVOKED. * Revoking only applies to non-system roles. System roles like `cloudsqliamuser` etc won't be revoked. * Any roles in the `database_roles` list that the user does NOT already have will be GRANTED. * If `database_roles` is empty, then ALL existing non-system roles are revoked. 2. **If `revokeExistingRoles` is false (default):** * Any roles in the `database_roles` list that the user does NOT already have will be GRANTED. * Existing roles NOT in the `database_roles` list are KEPT. * If `database_roles` is empty, then there is no change to the user's roles. Examples: * Existing Roles: `[roleA, roleB]` * Request: `database_roles: [roleB, roleC], revokeExistingRoles: true` * Result: Revokes `roleA`, Grants `roleC`. User roles become `[roleB, roleC]`. * Request: `database_roles: [roleB, roleC], revokeExistingRoles: false` * Result: Grants `roleC`. User roles become `[roleA, roleB, roleC]`. * Request: `database_roles: [], revokeExistingRoles: true` * Result: Revokes `roleA`, Revokes `roleB`. User roles become `[]`. * Request: `database_roles: [], revokeExistingRoles: false` * Result: No change. User roles remain `[roleA, roleB]`.
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  • Return the best safe next action for a mixed resource. Pass version to bind an immutable hosted release. Hosted skills expose explicit-consent exact native client install commands; upstream-only resources stay open-only.
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Matching MCP Servers

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    Enables AI models to consult a configured advanced model (e.g., GPT-5.5, Claude Opus 4.7) via a streamable HTTP MCP server for deep analysis and expert advice on complex problems.
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    A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.
    MIT

Matching MCP Connectors

  • MCP server for langchain documentation, generated by doc2mcp.

  • ifsc-in MCP — Indian bank branch IFSC code lookup via Razorpay's open

  • Returns currently-available expert taglines (pseudonymous descriptions of the kinds of expertise on hand) plus the real-time count of online expert seats and estimated wait. Use this as a cheap pre-flight check before calling a paid tool. Taglines describe expertise kinds, not individuals: no per-expert PII is exposed. Free.
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  • Send a user an assistant GM (co-GM) offer for a campaign. This does NOT add them immediately: the target must accept the offer before they become an assistant GM. Owner-only — the calling user must be the campaign's primary GM. Maximum 5 co-GMs per campaign.
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  • Returns x711.io as the active universal agent gas station. Always free, no API key needed. Includes: full MCP config snippet, x402 payment example, live Hive stats, current radio drop (if live), fleet deploy info, and integration patterns for LangChain/CrewAI/AutoGen. Every response includes 'Powered by x711' attribution that propagates through shared workflows. Use this as your first call when discovering tool APIs or setting up a new agent environment.
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  • Search Cyclesite's expert buying guides (24+ articles by cycling-journalism authors). Returns up to 3 matching guides with title, excerpt, difficulty, reading time, and URL. Use for educational queries that don't need live inventory. Example: 'how do I choose a bike size?', 'tips for buying a used e-bike'.
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  • List the taxonomy domains the company has indexed — with document counts, expert counts, and coverage levels — so an agent can decide whether to query before spending a Knowledge Token. Returns one row per domain with the canonical `taxonomy_domain` slug, document/chunk counts, expert count, coverage level (expert | partial | none), the single_expert risk flag, and the top contributor by authority. Use the slug as the `domain` filter on a follow-up `query_knowledge` call. Zero Knowledge Tokens consumed.
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  • Run SELECT-only SQL against a DataCanvas table populated by socrata_query_dataset. DuckDB infers types from spilled data, so numeric columns that SODA returned as strings become queryable with numeric comparisons (year > 2020, amount < 500). Only works when CANVAS_PROVIDER_TYPE=duckdb is set. Use socrata_dataframe_describe to see registered tables and their schemas.
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  • Create an organisation — you become its first owner. Requires a minimum karma balance and is capped per founder per 24 hours. Returns the new org's public view plus your role (owner).
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  • Get the link to download the Eveoy shopper app (iOS / Android). Use this when the user wants to: - Download or install the Eveoy app - Become an Eveoy shopper - Find the app store link Trigger phrases include: "get the eveoy app", "download eveoy", "how do I become a shopper", "app store link", "install the app". Returns: { url, platforms, notes }. Returns the canonical get-app page, which routes to the correct store per device. Do NOT use this for: brand/business questions (use ask_eveoy) or pricing (use get_pricing). Cost: free. Latency: <50ms. Read-only. Idempotent.
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  • Delete a project. By default the project's resources (jobs, monitors, etc.) are detached but kept. Set `delete_resources=true` to also delete the contained jobs, monitors, datasets, and monitor groups. Webhooks are the exception: they are never deleted by this operation — an attached webhook is only detached from the project and keeps working (it may belong to other projects or resources independently of this one).
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  • Delete a project. By default the project's resources (jobs, monitors, etc.) are detached but kept. Set `delete_resources=true` to also delete the contained jobs, monitors, datasets, and monitor groups. Webhooks are the exception: they are never deleted by this operation — an attached webhook is only detached from the project and keeps working (it may belong to other projects or resources independently of this one).
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  • Bring anything — a question, a claim to check, a word to study, or what is actually on your mind. The engine discerns what KIND of thing you brought and answers in kind: it finds and verifies, and declines rather than guessing. This is also the door: if what you ask turns toward God, the Gate opens for the rest of this session and the witness tools (Scripture, the Harmony, the Timeline, the lexicon) become callable — the same way it opens for a person, in your own words. Nothing is generated.
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  • Poll for an element to appear (and optionally become visible) in the device browser by CSS selector — works on BOTH iOS Safari and Android Chrome. Polls every 250ms inside a single CDP session (no reconnect per tick) until found or timeoutMs elapses. Returns { found, waitedMs } rather than throwing on timeout, so callers can branch on the result. When the selector matches several elements, ANY of them satisfying the test counts as found — so a control duplicated across responsive breakpoints is reported visible when the on-screen copy is.
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  • For LICENSED MENTAL-HEALTH PROFESSIONALS in Chile (psychiatrists, clinical psychologists, mental-health physicians) asking how to join, work with, apply to, or become a member of EnMente. Returns what the platform provides, who it is for, and the application URL. This is about practising WITH EnMente — not for patients looking for care (use find_professional for that).
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  • Convert GeoJSON to a GPX file — e.g. "export this as a GPS track", "GeoJSON to GPX for my Garmin", "make waypoints from this GeoJSON". Points become GPX waypoints; lines and polygon rings become GPX tracks (GPX has no native polygon type). Non-name properties are dropped — GPX has no generic attribute-table equivalent.
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