Learning & Documentation MCP Servers

Knowledge Service

Manages a comprehensive knowledge and rules suite for Tailscale networks, featuring semantic search capabilities powered by libSQL vectors and OpenAI embeddings.

Test Project

Demonstrates and tests various mechanisms of the Model Context Protocol (MCP) using its TypeScript SDK.

Northwind FastAPI Example

Enables Large Language Models to connect and interact with REST APIs by exposing data through a Model Context Protocol endpoint.

Recommender

Provides intelligent recommendations for other Model Context Protocol (MCP) servers tailored to specific development requirements.

Demo Local LLM

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

Live Tutorial

Provides interactive, step-by-step guidance for implementing and understanding servers.

C# SDK Tutorial

Demonstrates Model Context Protocol (MCP) server implementation using the C# SDK, with additional examples for resources and prompts.

My Tools

Serves as a Node.js-based Model Context Protocol server, exposing utility tools for interaction.

Model Context Provider

Provides a server for managing model context during development and learning.

MyDocs

Empowers AI coding agents to access and leverage your personal historical documents for intelligent template generation and pattern recognition.

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.

Contexto

Makes project documentation accessible to AI assistants for enhanced contextual understanding.

Arxiv Search

Enables LLMs to search and retrieve academic papers from arXiv, providing cleaned titles, abstracts, and content.

Hugging Face Course

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

MediaWiki

Enables AI assistants to interact with MediaWiki instances using the MediaWiki API.

Example Server

Provides a foundational Model Context Protocol (MCP) server implementation with boilerplate code for user and project management functionalities.

Payman AI Documentation

Provides AI assistants with access to Payman AI's documentation for efficient developer integration.

Intro

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

Cricket Prediction

Demonstrates building a Model Context Protocol (MCP) server in Python to expose custom tools and resources to large language models (LLMs) and MCP clients.

Edumorph

Delivers adaptive learning experiences through AI-powered personalization within a comprehensive educational platform.