Learning & Documentation MCP 服务器

Gopq

Offers a Go library for implementing post-quantum cryptographic algorithms such as ML-DSA for digital signatures and ML-KEM for key encapsulation.

Rag Pipeline Research

Explores Retrieval-Augmented Generation (RAG) and Multi-Cloud Processing (MCP) server integration using free and open-source models.

Docs Search

Provides LLM clients with dynamic access to up-to-date implementation details and documentation from popular AI libraries like LangChain, LlamaIndex, and OpenAI.

Streamable HTTP Calculator

Demonstrates building a stateful Model Context Protocol server with Streamable HTTP, featuring persistent sessions, full connection resumability, and an in-memory event store.

Robostats

Connects FIRST Robotics Competition (FRC) data directly to Claude Desktop or Cursor IDE for AI-powered analysis.

AgenticRAG

Provides agentic retrieval-augmented generation capabilities for intelligent codebase processing via the Model Context Protocol (MCP).

Shadcn UI

Provides AI assistants with access to shadcn/ui component documentation, examples, and API details via the Model Context Protocol (MCP).

My Server

Serves as a basic Model Context Protocol server, offering a `calculate` tool for fundamental mathematical operations.

React Icons

Enables AI coding assistants to access and understand the React Icons library.

Demo Local LLM

Demonstrates creating MCP clients and servers in Python and TypeScript, integrating with local LLMs.

Learn MCP By Building

Implement the Model Context Protocol (MCP) by building AI tools with a modular framework for creating MCP-compatible servers and clients.

Hugging Face Course

Provides code examples for the Hugging Face Machine Coder Program course, demonstrating tool integration and sentiment analysis.

Intro

Explores Model Context Protocols (MCPs) through a practical, step-by-step guide to building a first custom MCP.

Jokester Agent

Integrates diverse joke-fetching capabilities into Microsoft Copilot Studio agents via a Model Context Protocol server.

ProudNet Documentation

Enables AI tools to access ProudNet documentation through an MCP server.

Date and Time

Offers a robust set of functionalities for retrieving date and time, accessing user profiles, and generating personalized greetings.

Lab

Provides an environment for exploring the Model Context Protocol.

FastMCP Lab

Develops an MCP client to interact with tools, resources, and prompts exposed by an MCP server using the FastMCP framework.