MCP Servers

This repository provides a curated list of awesome Model Context Protocol (MCP) servers, which enable AI models to securely interact with local and remote resources through standardized implementations. It includes

This repository offers reference implementations for Model Context Protocol (MCP) servers, showcasing how to grant Large Language Models secure access to various tools and data sources using TypeScript and Python SDKs.

Mastra is a TypeScript framework for rapidly building AI applications, offering primitives like workflows, agents, RAG, integrations, and evals, supporting local or serverless cloud deployment with unified LLM provider interaction.

BlenderMCP integrates Blender with Claude AI via the Model Context Protocol, enabling prompt-assisted 3D modeling, scene creation, and object manipulation directly within Blender. It supports Poly Haven assets and Hyper3D Rodin.

The AI Engineering Hub offers tutorials and real-world examples for LLMs, RAGs, and AI agents, enabling users of all skill levels to learn, implement, and scale AI projects.

Opik is an open-source LLM evaluation framework designed to help build better, faster, and cheaper LLM systems through tracing, evaluations, and dashboards for RAG chatbots, code assistants, and agentic pipelines.

MCP Go is a Go implementation of the Model Context Protocol, enabling seamless integration between LLM applications and external data sources and tools. It simplifies building great tools by handling

This repository hosts a sleek AI assistant and MCP client that supports various AI models like OpenAI, Google, and Mistral, and offers tools requiring Python, Node.js, and uv for activation.

Cognee is a memory layer for AI apps and agents, enabling dynamic agent memory using scalable ECL pipelines to interconnect and retrieve past conversations, documents, images, and audio transcriptions for

AbletonMCP integrates Ableton Live with Claude AI via the Model Context Protocol, enabling AI-powered music production, track manipulation, and session control through two-way communication and a socket-based server.

This repository provides learning materials for the Panaversity Certified Agentic & Robotic AI Engineer program, covering AI-201 and AI-202 courses focused on building conversational and autonomous AI agents.

This repository provides a quick start guide for Model Context Protocol (MCP) programming, focusing on building MCP servers with tools for large language models. It uses Python and the `uv` package manager.

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.

The MCP Java SDK provides tools for Java applications to interact with AI models using the Model Context Protocol, offering standardized communication and Spring Boot integration for client and server applications.

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.