Other MCP 서버

YouTube

499

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

SearXNG

496

Integrates the SearXNG API to provide web search capabilities within an MCP environment.

Google Search Console

455

Analyze SEO data through natural language conversations by connecting Google Search Console with Claude AI.

Minecraft

493

Enables AI assistants to control a Minecraft character for tasks like building, exploration, and interaction through natural language.

YouTube Transcript

483

Retrieves transcripts directly from YouTube videos using a simple interface.

GSuite

477

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

Rails

508

Enables Large Language Models to interact with Rails projects through the Model Context Protocol.

Baidu Maps

407

Provides a set of MCP-compatible APIs for accessing Baidu Maps functionalities, including geocoding, place search, route planning, and more.

Mcp-Cli

416

Inspect Model Context Protocol implementations from the command line.

Mcpadapt

417

Enables seamless integration of over 650 Model Context Protocol (MCP) servers into agentic frameworks.

Hub

446

Manages and monitors multiple Model Context Protocol (MCP) servers from a central location.

Remote Macos Use

462

Enables AI agents to fully control remote macOS systems without requiring additional software installation.

BioMCP

439

Facilitates biomedical research by providing an open-source toolkit for AI assistants and agents to search and retrieve data on clinical trials, PubMed articles, and genomic variants.

Mcp-get

507

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

Applescript

429

Execute AppleScript code from a server to control macOS applications and data.

Finance Data Server

465

Provides access to real-time financial news, stock data, and index data via the Tushare API for language models.

Codefetch

418

Converts code into Markdown format for use with Large Language Models (LLMs) through a simple terminal command.

Rag

445

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

MetaMCP

398

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

Mermaid

461

Dynamically generate mermaid diagrams and charts using AI.