Other MCP 服务器

Obsidian

531

Enables AI assistants to interact with Obsidian vaults for note and tag management.

Excel

511

Enables reading and writing of spreadsheet data to Microsoft Excel files through a Model Context Protocol (MCP) server.

Filesystem

511

Provides filesystem operations through the Model Context Protocol, enabling read/write access and directory management.

Vue Mcp

503

Provides a server enabling models to better understand Vue applications by exposing the component tree, state, routes, and Pinia data.

Awesome MCP Servers

489

Provides a comprehensive collection of Model Context Protocol (MCP) servers across various categories.

Mcp-get

480

Installs and manages Model Context Protocol (MCP) servers for seamless integration between LLM applications and external data sources.

Spotify

477

Connects Claude to Spotify, enabling control and information retrieval.

IDA

475

Enables interaction and automation of IDA Pro with Large Language Models via a Model Context Protocol server.

WeRead

460

Bridges WeChat Read data with AI clients like Claude Desktop, enabling seamless access to notes and reading data.

Mcp.el

458

Enables Emacs to interface with MCP servers for structured communication and resource management.

MacOS Automator

457

Executes AppleScript and JavaScript for Automation (JXA) scripts on macOS via a Model Context Protocol (MCP) server.

YouTube

448

Downloads YouTube subtitles using yt-dlp and connects to claude.ai via Model Context Protocol.

Iterm

446

Provides access to your iTerm session for AI models, enabling them to execute commands and interact with the terminal.

Nest

435

Exposes AI tools, resources, and prompts from NestJS applications using the Model Context Protocol.

GSuite

432

Enables interaction with Google Workspace products such as Gmail and Calendar.

Router

425

Manage Model Context Protocol servers with ease.

Home Assistant

418

Connects a local Home Assistant instance to Language Learning Models (LLMs) via the Model Context Protocol (MCP).

Rag

406

Combines search and Large Language Models (LLMs) to generate insights from your data using Retrieval Augmented Generation (RAG).

Smithery CLI

400

Installs and manages Model Context Protocol (MCP) servers, remaining client-agnostic.

MetaMCP

398

Manage and unify multiple MCP server integrations through a single GUI application.