Latest insights, tutorials, and updates from the Model Context Protocol team
Discover chrome-devtools-mcp, a powerful MCP Client for coding agents that brings Chrome DevTools capabilities to automated browser interactions. This TypeScript-based tool, boasting over 44,000 GitHub stars, provides deep performance insights, advanced debugging, and reliable automation for developers.
LangBot is an easy-to-use, Python-based MCP client for integrating large language models with diverse global instant messaging platforms. It addresses the challenge of deploying AI bots across services like QQ, Discord, and WeChat, making advanced AI accessible to a broader audience. Developers and organizations seeking stable, extensible AI communication solutions via MCP should consider LangBot.
Discover claude-plugins-official, an Anthropic-managed MCP Client providing a curated directory of high-quality plugins for Claude Code. This Python-based client simplifies extending Claude's capabilities, serving developers and users seeking trusted AI integrations.
Figma-Context-MCP is an MCP Server designed to bridge Figma design data with AI coding tools. It empowers AI to generate more accurate code by providing rich context, making it essential for developers seeking enhanced AI-driven development workflows using the Model Context Protocol.
The courses MCP Server, with over 21,903 GitHub stars, provides Anthropic's comprehensive educational materials for mastering AI and prompt engineering. It offers a structured learning path for developers looking to integrate advanced AI capabilities via MCP, enhancing their skills with Claude models.
Discover langchain4j, the Java implementation of LangChain, serving as a powerful MCP Server for AI applications. With over 12,000 GitHub stars, it bridges the gap for Java developers seeking robust Model Context Protocol integration, streamlining AI model interaction and context management in their projects.