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.

This repository provides a Python implementation of the Model Context Protocol (MCP), offering tools and resources for building servers, managing context, and integrating with applications like Claude. It simplifies 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.

This repository hosts Playwright MCP, a server enabling LLMs to interact with web pages using Playwright's accessibility tree, offering fast, lightweight, and deterministic browser automation. It bypasses the need for vision models.

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.

FastMCP was a Python library for building Model Context Protocol (MCP) servers quickly and easily, allowing developers to create tools, expose resources, and define prompts with minimal boilerplate. However, it

Inbox Zero is an open-source AI email assistant and client designed to help users achieve inbox zero quickly. It offers features like AI-powered email management, reply tracking, smart categories, and

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.

This repository provides a Model Context Protocol (MCP) server that allows AI coding tools like Cursor to access and utilize Figma design data for more accurate code generation.

This TypeScript SDK implements the Model Context Protocol, enabling developers to build MCP clients and servers that expose resources, prompts, and tools for LLM context management. It supports standard transports

Higress is a cloud-native AI gateway based on Istio and Envoy, offering extensibility with Wasm plugins and a user-friendly console. It provides high availability and load balancing capabilities for various services.

GhidraMCP is a Ghidra plugin and MCP server that allows LLMs to autonomously reverse engineer applications by exposing Ghidra's core functionality to MCP clients for binary analysis and decompilation.

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