Latest insights, tutorials, and updates from the Model Context Protocol team
Discover dify, a TypeScript-based MCP Server with 144,996 GitHub stars, designed for building and deploying production-ready AI agentic workflows. It offers comprehensive LLM support, RAG pipelines, and LLMOps, solving the complexity of AI application development for engineers and teams.
Discover plate, a powerful TypeScript-based MCP client and rich-text editor with integrated AI and shadcn/ui. It empowers developers to build sophisticated content creation tools, streamlining workflows by connecting to Model Context Protocol servers for enhanced contextual understanding.
Discover sim, the open-source MCP Client for building and deploying AI agent workflows with ease. This TypeScript-based platform, boasting over 28,000 GitHub stars, provides an intuitive interface for connecting LLMs with your favorite tools. Ideal for developers seeking efficient AI agent orchestration within the Model Context Protocol ecosystem.
mcp-use is a Python-based MCP client library designed for seamless integration of custom agents with Model Context Protocol (MCP) servers. It simplifies server interaction, allowing developers to quickly build MCP-capable agents using LangChain-supported LLMs. This tool is ideal for those looking to leverage MCP for advanced AI applications and agent development.
awesome-mcp-servers is a vital MCP Server that curates a list of Model Context Protocol servers, enabling AI models to securely access local and remote resources. Developers and AI enthusiasts looking to expand AI capabilities through standardized interactions should explore this comprehensive resource.
Comprehensive technical guide to GPT_API_free, covering implementation details, best practices, and real-world examples for developers in 2025. Learn advanced techniques and optimization strategies.