32707cf1-5005-4d00-971c-d06a70e032f4

Provide a minimal MCP server implementation that enables LLM clients to connect and access example tools via HTTP or stdio transports. Facilitate integration with AI systems like Windsurf IDE and Claude by offering simple authentication and example tools such as greeting, version info, and system info. Extend the server easily by adding custom tools to enhance AI capabilities.

Serve MCP resources and tools over a streamable HTTP interface to enable dynamic integration with LLM applications. Provide efficient, real-time access to external data and actions through a standardized protocol. Enhance LLM capabilities by exposing custom tools and resources via HTTP streaming.

Provide a FastAPI-based server that implements the Model Context Protocol (MCP) using Server-Sent Events (SSE) to enable AI models to interact with external tools and data sources. Seamlessly integrate MCP SSE endpoints with standard web routes in a unified web application. Facilitate easy extension and debugging with MCP Inspector support and customizable route structures.

Provide a local MCP server that enables integration of LLMs with external tools and resources via standard input/output. Facilitate dynamic access to files, actions, and prompt templates to enhance LLM capabilities. Simplify development of LLM applications by offering a ready-to-use MCP server implementation.