Explore our complete collection of MCP servers to connect AI to your favorite tools.
Provide a powerful open-source data catalog for discovering, understanding, and leveraging data assets across an organization.
Enables Large Language Models to interact with Rails projects through the Model Context Protocol.
Downloads YouTube subtitles using yt-dlp and connects to claude.ai via Model Context Protocol.
Enables seamless interaction between users, web agents, and browsers by recording and replaying browser actions.
Enables document format conversion using pandoc through a Model Context Protocol server.
Enables seamless integration between the Unity Editor and AI assistants through the Model Context Protocol.
Control FreeCAD parametrically using an MCP server.
Enables large language models to interact with Alpaca's trading infrastructure using natural language for stock and option trading.
Enables any LLM to interactively debug code in any language through MCP and a VS Code Extension.
Provides a Model Context Protocol (MCP) server implementation with database capabilities powered by Chroma for LLM applications.
Installs and manages Model Context Protocol (MCP) servers, remaining client-agnostic.
Enhances Markdown formatting and adapts content seamlessly for platforms like WeChat official accounts, web pages, and image exports.
Bridges large language models with the Metasploit Framework, enabling AI assistants to control security testing workflows via natural language.
Provides a Model Context Protocol (MCP) server for interacting with dbt projects.
Quickly scaffolds Python projects for Model Context Protocol (MCP) servers.
Provides an MCP server for programmatically managing n8n workflows.
Enables interaction with Google Workspace products such as Gmail and Calendar.
Crawls, indexes, and serves Apple's developer documentation to AI agents via the Model Context Protocol.
Accelerate PDF document processing for AI agents by extracting text, images, and metadata with parallel execution and precise content ordering.
Connects AI agents to a Linux machine by providing a lightweight API bridge for executing commands.
Empowers LLM agents with intelligent project and task management by leveraging a Neo4j graph database and the Model Context Protocol.
Retrieves transcripts directly from YouTube videos using a simple interface.
Manages the lifecycle of Flux CD on Kubernetes, extending it with self-service capabilities and preview environments.
Integrates Burp Suite with AI clients using the Model Context Protocol (MCP).
Implements strategic pattern interrupts in AI workflows to prevent cascading errors and tunnel vision.
Enables AI assistants to control a Minecraft character for tasks like building, exploration, and interaction through natural language.
Enables AI agents to fully control remote macOS systems without requiring additional software installation.
Enables interaction with OpenSearch clusters using Python.
Connects Large Language Models to Adobe Photoshop and Premiere Pro via the MCP protocol, enabling AI-driven control and automation.
Provides a comprehensive backtesting framework for algorithmic trading strategies, supporting multiple markets and featuring CLI tools and an integrated MCP server.
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