Latest insights, tutorials, and updates from the Model Context Protocol team
fastmcp is a Python library for building Model Context Protocol (MCP) servers quickly, allowing developers to create tools, expose resources, and define prompts with minimal boilerplate. It simplifies providing context and actions to LLMs in a standardized manner.
The ai-engineering-hub MCP Server provides tutorials and real-world examples for LLMs, RAGs, and AI agents. It enables users of all skill levels to learn, implement, and scale AI projects, making complex AI concepts accessible. This MCP server is ideal for developers and researchers focused on practical AI applications.
The awesome-claude-skills MCP Server offers a curated list of resources for customizing Claude AI workflows. This Python-based MCP Server helps developers enhance practical Claude AI applications by providing a focused collection of skills and tools.
Discover aider, an AI MCP Server for terminal-based pair programming. With 46,840 GitHub stars, it supports diverse LLMs, maps codebases, and integrates with Git. Ideal for developers seeking an AI coding assistant within their workflow.
AstrBot is an easy-to-use, multi-platform LLM chatbot and development framework, boasting 35,444 GitHub stars. As an MCP server, it enables seamless integration of large language models across various messaging platforms, ideal for developers and organizations building AI-powered communication solutions.
code-review-graph is an innovative MCP Client that builds a local-first code intelligence graph, significantly reducing context for AI coding tools. Developers can use this Python-based solution to gain deep insights into their codebase, streamline code reviews, and enhance large-repo workflows.