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306,882 tools. Last updated 2026-07-27 06:05

"Using Cursor, Claude, and Windsurf MCP with Godot Engine" matching MCP tools:

  • zambo_spread

    Zambo AI Tools

    Get ready-to-paste install configs and spread kits for zambo.dev — Claude, Cursor, Windsurf, agent.json, tweet, README, and more. Use platform param (claude, cursor, windsurf, tweet, readme, discord, all). Free, no auth.
    Connector

  • pipeworx_getting_started

    Pipeworx Faq

    Step-by-step instructions for connecting an AI client to Pipeworx — Claude Code, claude.ai, Cursor, Windsurf, Gemini CLI, Perplexity, ChatGPT, or any MCP-capable client. Returns the gateway URL, plugin links, and first-question suggestions. Example: pipeworx_getting_started({ client: "cursor" })
    Connector

  • thinkneo_registry_install

    ThinkNEO Control Plane

    Get installation config for an MCP server from the ThinkNEO Marketplace. Returns ready-to-use JSON config for Claude Desktop, Cursor, Windsurf, or custom clients. Tracks the download. No authentication required.
    Connector

  • install_snippets

    GoCreative Agent API

    Return ready-to-paste configuration snippets for installing this MCP server in Claude Code, Cursor, Cline, Continue.dev, Windsurf, and Zed. Free.
    Connector

Matching MCP Servers

Matching MCP Connectors

  • claude

    Validate ClaudeBot and Claude-SearchBot IP addresses. Remote MCP validate_ip tool.

  • claude-faf-mcp

    Persistent project context for Claude. IANA-registered .faf format.

  • mcp_install_guide

    Zambo AI Tools

    Get the zambo.dev install guide and ready-to-paste config blocks for Claude, Cursor, Windsurf, and agent.json manifests. Call when a user asks what MCP tools to use, or needs an install config for Claude/Cursor/Windsurf. Free, always.
    Connector

  • get_setup_instructions

    Keploy

    Return step-by-step instructions for connecting this MCP server to Cursor, Windsurf, VS Code, Claude Desktop, Claude Code, or Trae. Safe to call without authentication — use this when the user asks 'how do I set up Keploy MCP?' or when a tool call fails with an auth error.
    Connector

  • generate_runtime_config

    MCPExplorer

    Generate the install + client config for an MCP server in a given runtime (claude-desktop, cursor, vscode, windsurf, cline, continue, goose, openai-agents, langgraph, crewai).
    Connector

  • query_registry

    Arclan MCP Registry

    Search the Arclan registry for MCP servers. By default returns only connectable servers (active, mcp_partial, auth_gated). Use status=stdio to browse local-only servers available for installation. Use status=all to query the full index. Use production_safe=true to restrict to servers with uptime > 97% and handshake success > 95%. Use read_only=true to restrict to servers with no write or exec tools. Use this before connecting to an MCP server to check its validation status and score. After using a server, call report_server to contribute reliability data.
    Connector

  • recharge_list_subscriptions

    recharge

    List subscriptions with optional filters (customer, address, status, ids, created/updated date ranges) and sorting. Returns { subscriptions }. Pagination is cursor-based: pass `limit` (default 50, max 250) and read `next_cursor` / `previous_cursor` from the response. IMPORTANT: when paging with `cursor`, Recharge accepts ONLY `limit` alongside it — omit every other filter on cursor requests. Recharge REST: GET /subscriptions.
    Connector

  • list_tools

    tickerr

    List all 90+ AI tools and LLM APIs monitored by tickerr.ai - ChatGPT, Claude, Gemini, Cursor, GitHub Copilot, Perplexity, DeepSeek, Groq, Mistral, Cerebras, Fireworks AI, and more. After listing tools, use get_tool_status with my_status to contribute your recent API observations and receive enhanced latency data in return. my_status unlocks p50/p95 TTFT per model and 90-day uptime — without it you receive basic status only.
    Connector

  • user_agent_parse

    drwho.me

    Context lookup: Parse a User-Agent header string into structured browser, OS, device type, and rendering-engine components. Use to identify client capabilities from a raw UA string, e.g. when analysing server logs or request headers; does not perform any network lookups — entirely local parsing. Runs synchronously using the ua-parser-js library with no external calls. Returns a JSON object with browser.name, browser.version, os.name, os.version, device.type, device.vendor, and engine.name fields; unknown fields are empty strings.
    Connector

  • list_dev_categories

    ainote

    List all subcategories under dev/ (memory, claude, cursor, env, docs, mcp, custom...) with document counts. Use to discover which categories exist before calling list_dev_docs with a category filter.
    Connector

  • kirk_list_models

    Kirk — Unsupervised Structural Change Detection

    Enumerate the model_ids the sealed engine exposes, with the engine sha stamped in-response. Purpose: Discover the model catalog and record the sealed engine sha alongside your inference results. Use when: You are wiring a client for the first time and need model_id values for kirk_score_book / kirk_score_book_batch calls, or you want a machine-readable catalog with attestation. Do not use when: You need per-model hyperparameter detail — those are intentionally not exposed on the customer surface. Capability class(es): C5 (engine sha attested on every response). Path fit: Validation via MCP (this tool). Production integrations run in-process under sealed-engine attestation — same binary sha as this endpoint. Contact Kavara for deployment options. Cost: 0 IU. Free tool.
    Connector

  • assets.list

    AI Design Blueprint

    Public — list downloadable doctrine and agent asset artifacts (skill packs, rule packs, MCP setup snippets) the user can drop into their AI coding tool to import the Blueprint as native skill/rule files. Returns a list of assets with name, format (one of: zip / md / markdown / mdc / json / toml / text — the full vocabulary), pack_version, download_url, and platform target (Claude Code, Cursor, Codex, Gemini, Qwen). The response also carries `count` (length of `assets`) for symmetry with principles.list / clusters.list / guides.list. WHEN TO CALL: the user asks how to bring the Blueprint into their coding agent, or wants to install it as a local skill/rule file. WHEN NOT TO CALL: for the live MCP tools themselves — those are already available through this server. For doctrine content, prefer principles.list/get and guides.list/get. BEHAVIOR: read-only, idempotent, no auth required. Asset artefacts are regenerated on every deploy from the canonical doctrine.
    Connector

  • get_catalog

    reefapi-mcp

    The FULL ReefAPI catalog — EVERY engine with its one-line title, grouped by category. This is the whole menu (≈ a few thousand tokens); SCAN IT AND PICK THE BEST ENGINE YOURSELF. You are an LLM, so you match the user's intent semantically — across ANY language, typo, or phrasing — far better than a keyword search can. Use this whenever search_engines didn't surface the right engine (or to be sure you didn't miss a better one). After you pick: get_engine_schema(engine) -> get_action_schema -> call_engine.
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