Other MCP Servers

YouTube

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

Iterm

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

Minecraft

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

YouTube Transcript

Retrieves transcripts directly from YouTube videos using a simple interface.

GSuite

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

IDA

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

Rails

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

Mcp-Cli

Inspect Model Context Protocol implementations from the command line.

Hub

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

Remote Macos Use

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

BioMCP

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.

AgentChat

Facilitates interaction with AI agents, supporting both default and custom agent configurations for multi-turn conversations and task automation.

Mcp-get

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

Applescript

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

Finance Data Server

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

KiCAD

Enables Large Language Models to interact with KiCAD for natural language-driven printed circuit board design.

WeRead

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

Codefetch

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

Rag

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

Mermaid

Dynamically generate mermaid diagrams and charts using AI.