"Up-to-date information about Godot documentation" matching MCP servers:

Connects MCP clients directly to a live Godot editor, enabling AI assistants to build scenes, edit nodes, and control the editor through over 120 operations.

Enables AI agents to create, edit, and run Godot 4.5+ games by providing tools for project scaffolding, scene manipulation, and engine interaction. It supports full game development workflows including node editing, script attachment, and project execution with debugging capabilities.

Enables AI agents to interact with the Godot game engine, including project inspection, scene/script parsing, headless exports, runtime control with live scene-tree inspection and evaluation, and API documentation search.

Model Context Protocol server for Godot Engine providing 279 tools across 26 categories for AI assistants to read, inspect, and modify Godot projects via stdio transport.

Open-source MCP server connecting AI agents (Claude, Cursor, GitHub Copilot, Gemini, and more) to the Godot Editor and runtime (Godot 4.x, C#).

Enables AI coding assistants to directly control a running Godot editor for autonomous game development, including scene building, tilemap and animation manipulation, UI automation, and live GDScript execution.

Enables AI agents to autonomously develop and test Godot 4 games through an MCP-based feedback loop, providing tools for authoring, running, observing, playtesting, and verifying game projects.

Enables Godot 4 editor interaction through MCP, including project/scene inspection, script writing, and a 2D roguelike skill for AI agents.

Enables coding agents to see and act inside a live Godot 4 editor, inspecting scene trees and capturing visual evidence while performing undo-backed, approval-gated edits with runtime verification.

A local MCP server plus a bundled Godot editor addon that lets an AI agent create, inspect, run, debug, and export real Godot 4.6 games through tools.

A MCP server that acts as an 'escape guide' for AI coding agents, providing structured thinking protocols to help agents unstuck themselves without human help.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

A Model Context Protocol server that converts Markdown content to HTML format.

Enables MCP clients to interact with A2A agents through four ordinary tools, translating agent discovery, messaging, task reading, and cancellation between the A2A and MCP protocols, with support for the tasks extension.

An MCP server that turns a one-sentence idea into working, tested code using a pipeline of six AI agents, with optional deployment.

MCP server that lets you drive Claude Code sessions hands-free by voice from any MCP client, enabling remote models to send prompts, monitor progress, and get results read back.

An autonomous MCP server that uses the Claude Code CLI to solve coding problems without permission prompts.

One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose

An MCP server integration that enables Cursor AI to communicate with Figma, allowing users to read designs and modify them programmatically through natural language commands.

Enables users to control the cursor in Figma through verbal commands using an agentic AI agent, streamlining the design process with a new interaction method.