A Model Context Protocol server template that enables running and experimenting with stdio and HTTP transports, and simulating AI agent interactions with custom tools such as deploys, git checks, API references, and status queries.
A demonstration implementation of the Model Context Protocol server that facilitates communication between AI models and external tools while maintaining context awareness.
A toolkit for building Model Context Protocol servers and clients that provide standardized context for LLMs, allowing applications to expose resources, tools, and prompts through stdio or Streamable HTTP transports.
A complete working example of Model Context Protocol servers that exposes tools and functions over streamable HTTP, allowing AI assistants like Cursor to access capabilities such as web search via Tavily.
