Explore our complete collection of MCP servers to connect AI to your favorite tools.
Enables semantic search and management of documentation through vector similarity using RAG techniques.
Provides access to NebulaGraph 3.x using the Model Context Protocol.
Retrieves package documentation from multiple language ecosystems for use with LLMs.
Manage, distribute, and execute AI agent tools using the Model Context Protocol (MCP).
Parses Swagger/OpenAPI documents and generates TypeScript types and API client code.
Offers a MCP server that manages notes with summarization and addition functionalities.
Provides an Anthropic MCP client tailored for macOS.
Integrates MCP tool calls and common function calls into a Dify agent strategy.
Provides current weather conditions and a 5-day forecast using the OpenWeatherMap API as an MCP service.
Schedules meetings in Microsoft Outlook using the Microsoft Graph API.
Provides a barebones foundation for building Model Control Protocol (MCP) servers in Swift for macOS applications and command line tools.
Provides programmatic access to UV package manager documentation through a Model Context Protocol (MCP) server.
Enables interaction with Android devices via ADB (Android Debug Bridge) using an MCP server.
Bridges the gap between testing platforms and development environments, allowing LLMs to access and execute tests.
Provides a streamable HTTP MCP server that deeply understands the OpenAI API, powered by RAG to answer technical questions.
Automate interactions with the Xiaohongshu platform using Selenium for content searching, viewing, and commenting.
Provides a comprehensive server for developing BASIC and Assembly Language programs for the Commodore 64.
Enables AI assistants to execute Python code within a persistent Django shell session.
Transforms Go source code into explorable graphs, enabling AI assistants to understand complex codebases through the Model Context Protocol.
Serves the Lingshu medical artificial intelligence model as a FastMCP endpoint for diverse medical applications.
Integrates Security Orchestration, Automation, and Response (SOAR) capabilities directly into AI clients via the Model Context Protocol.
Automates Active Directory enumeration and abuse through an AI assistant interface via the Model Context Protocol.
Enables Large Language Models like OpenAI or Claude to interact with live Smalltalk images.
Facilitates a knowledge marketplace for AI agents to share solutions, reducing the cost and time of problem-solving.
Provides AI coding agents with persistent, local memory and automatic context surfacing using semantic search.
Perform fast, local, and private semantic code search within your codebase using natural language queries, seamlessly integrating with AI coding agents.
Provides Claude Code with a persistent external memory, enabling the storage, organization, and retrieval of knowledge across sessions without consuming context window tokens.
Provides over 40 advanced FFmpeg tools for comprehensive video and audio processing, analysis, and streaming.
Provides a robust attestation infrastructure for AI agents, encompassing verifiable identity, W3C credentials, and EU AI Act compliance.
Optimizes AI agent interactions by significantly reducing token usage during code reads and edits, while preventing common editing mistakes and ensuring code integrity.
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