MCP Servers

This repository provides a curated list of Model Context Protocol (MCP) servers, offering reference implementations for various services like file systems, Git repositories, databases, Slack, Sentry, and more.

Solana Agent Kit is an open-source toolkit that enables AI agents to autonomously interact with Solana protocols, performing actions like token trading, launching new tokens, lending assets, and bridging across chains.

This repository provides an MCP server implementation, "perplexity-ask," that integrates the Sonar API, enabling Claude to perform real-time web research and engage in conversations with live web searches.

This repository provides a TypeScript bridge connecting local LLMs via Ollama to Model Context Protocol servers, enabling open-source models to utilize tools like filesystem operations, web search, and more.

This repository provides a Swift SDK for implementing the Model Context Protocol (MCP), enabling developers to build clients and servers that can interact with models and tools. It supports macOS

This repository provides an example of a Model Context Protocol (MCP) server for Qdrant, a vector search engine, enabling seamless integration between LLM applications and the Qdrant database as a

Hyper-mcp is a fast, secure MCP server that enhances applications with AI capabilities through WebAssembly plugins. It allows developers to write plugins in any language and distribute them via OCI registries.

The Heurist Agent Framework is a modular AI agent platform enabling interaction across multiple platforms like Telegram, Discord, and REST API, with features including image generation, voice processing, and access

This repository enables building LLM tools and agents using Bash, JavaScript, and Python, leveraging function calling to connect LLMs to custom code for tasks like system commands and API interactions.

This repository provides server and client examples from Model Context Protocol tutorials, including a simple weather server and an LLM-powered chatbot client, demonstrating MCP implementation. This repository provides server and

The Tavily MCP server enables AI systems to interact with data sources and tools using the Model Context Protocol, providing real-time web search and data extraction capabilities through Tavily's search

Jupyter MCP Server is a Model Context Protocol server that enables interaction with Jupyter notebooks running in a local JupyterLab environment. It facilitates real-time collaboration and integration with tools like Claude Desktop.

MCP Server is a tool for interactive data exploration, acting as a personal data scientist assistant. It turns datasets into actionable insights, allowing users to explore data with specified topics

This repository provides an MCP server for Claude Desktop, enabling semantic memory and persistent storage using ChromaDB and sentence transformers. It offers features like natural language recall, tag-based retrieval, and cross-platform compatibility.

This repository uses yt-dlp to download YouTube subtitles and connects them to claude.ai via the Model Context Protocol, allowing Claude to summarize YouTube videos when prompted with the video URL.