お気に入りのツールにAIを接続するためのMCPサーバーの完全なコレクションをご覧ください。
Bypasses search engine anti-scraping mechanisms to execute Google searches and extract results.
Enables seamless interaction between users, web agents, and browsers by recording and replaying browser actions.
Enables Emacs to interface with MCP servers for structured communication and resource management.
Enables seamless integration between the Unity Editor and AI assistants through the Model Context Protocol.
Index, search, and analyze code repositories with large language models using a Model Context Protocol server.
Provides a template for creating and distributing Unity packages with versioning and dependency management.
Enables creating, reading, updating, and managing Google Sheets spreadsheets programmatically.
Bridges WeChat Read data with AI clients like Claude Desktop, enabling seamless access to notes and reading data.
Executes AppleScript and JavaScript for Automation (JXA) scripts on macOS via a Model Context Protocol (MCP) server.
Facilitates rapid mastery of microservice and distributed project architecture design and development processes.
Provides access to your iTerm session for AI models, enabling them to execute commands and interact with the terminal.
Provides a comprehensive collection of Model Context Protocol (MCP) servers across various categories.
Downloads YouTube subtitles using yt-dlp and connects to claude.ai via Model Context Protocol.
Quickly scaffolds Python projects for Model Context Protocol (MCP) servers.
Integrates security testing and penetration testing tools into AI workflows via the Model Context Protocol.
Enables interaction with Google Workspace products such as Gmail and Calendar.
Connects a local Home Assistant instance to Language Learning Models (LLMs) via the Model Context Protocol (MCP).
Facilitates advanced reverse engineering tasks by acting as a model-agnostic AI assistant within environments like Ghidra, leveraging a tool-driven approach.
Enables natural language interaction with the Neon Management API and databases through the Model Context Protocol.
Enables any LLM to interactively debug code in any language through MCP and a VS Code Extension.
Provides access to A-share market data through the Model Context Protocol (MCP).
Provides a powerful multi-exchange, multi-account platform for cryptocurrency market data analysis, cross-platform trading, and automated strategy execution.
Enables MCP-compatible AI agents to deploy applications to Cloud Run.
Integrates ClickUp task management with AI applications through the Model Context Protocol.
Enables document format conversion using pandoc through a Model Context Protocol server.
Enables interaction with OpenSearch clusters using Python.
Provides a collection of official plugins for the Dify platform, including models, tools, agent strategies, and extensions.
Generates Model Context Protocol (MCP) servers from OpenAPI specifications, enabling AI agents to interact with existing REST APIs.
Enables web search across multiple engines without requiring API keys, supporting Bing, Baidu, DuckDuckGo, Brave, Exa, and CSDN.
Installs and manages Model Context Protocol (MCP) servers, remaining client-agnostic.
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