全面解析Go Dev MCPMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Go Dev MCP能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
Enables AI agents to search and retrieve information from the official Godot game engine documentation. Provides tools to search documentation, get page content, and access detailed class information.
Godot 4 MCP server with: Test running (GUT/GdUnit4) with structured pass/fail results API docs search with 30+ Godot 3→4 migration mappings Script analysis detecting 10 common GDScript pitfalls Scene/resource file parsing with antipattern detection Viewport screenshot capture LSP diagnostics from Godot's language server TypeScript, cross-platform (macOS/Windows/Linux), published on npm
An MCP server providing 15 semantic analysis tools for GDScript, powered by Godot's built-in Language Server.
Provides AI assistants with direct access to the complete Godot Engine documentation, including classes, tutorials, and features. It enables developers to retrieve and analyze official documentation through natural language interfaces using the Model Context Protocol.
Golf Course Project MCP Server
Provides AI-powered search and documentation tools using Google Vertex AI or Gemini API with real-time web search grounding, enabling technical queries, code analysis, documentation retrieval, and architecture recommendations to overcome LLM knowledge gaps.
全面解析Google Places MCPMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Google Places MCP能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
An mcp server for searching against google custom search api
An MCP (Multi-Agent Conversation Protocol) Server that enables AI agents to interact with Google Docs via natural language, automatically generated using AG2's MCP builder.
Enables deep integration with Google Workspace for AI assistants, allowing for document creation, spreadsheet manipulation, and file management. It supports advanced features like template processing, comment thread management, and cell formatting.
Enables Claude to interact with Google Docs to list, read, create, search, and update documents in a user's Google Drive. It provides a suite of tools and prompts for document management and content analysis using OAuth 2.0 authentication.
A Model Context Protocol server that provides an interface for AI models to interact with Google Docs, enabling reading, creating, updating, and searching Google Documents.
Enables Claude to read, create, and update Google Docs through OAuth authentication. Deployed as a remote Next.js server on Vercel with support for multiple users and secure API key management.
Enables searching, retrieving, and managing files in Google Drive using a service account. Supports file search with query syntax, metadata retrieval, folder operations, file moving, and folder creation.
Enables AI agents to efficiently access and process Google Drive documents by converting them to markdown and offering selective content extraction. Features intelligent caching, advanced search capabilities, and respect for Drive permissions to optimize context window usage.
A read-only Model Context Protocol server that enables LLMs to search, list, and read files from Google Drive and shared drives. It automatically converts Google Workspace documents like Docs, Sheets, and Slides into Markdown, CSV, and plain text formats for easy processing.
This MCP server integrates with Google Drive to allow listing, reading, and searching over files.
MCP server for searching images with Google
Model Context Protocol (MCP) server that provides AI assistants with advanced web research capabilities, including Google search integration, intelligent content extraction, and multi-source synthesis.



