Learning & Documentation MCP Servers

KB

Semantically searches markdown documentation within code repositories, leveraging embeddings for AI-assisted information retrieval.

Edumorph

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

LaTeX Server

Empowers Large Language Models and AI assistants with comprehensive LaTeX file creation, editing, and management capabilities.

Riml Me

Showcases Riml's portfolio and provides information about Riml.

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.

DocuMind

Analyzes and evaluates documentation quality through advanced neural processing.

Calculator

Provides a suite of mathematical functions accessible via a Model Context Protocol (MCP) server.

Learning Project

Facilitates practical learning and development for Model Context Protocol concepts, offering a structured path from basics to advanced topics.

GameMaker Docs

Provides comprehensive tools for managing and accessing GameMaker Language (GML) documentation, including an MCP server, CLI utilities, and HTML-to-Markdown conversion.

Demo Local LLM

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

Docs

Automates the generation of OpenAPI 3.0 API documentation by analyzing Django REST Framework ViewSets.

Obsidian

Enables AI to control Obsidian notes through a local REST API and automate Git synchronization.

Campus Chatbot

Delivers a self-evolving AI intelligent service hub specifically designed for university campuses, integrating RAGFlow, LLM, and MCP tool calling.

Python Template

Provides a DevOps-friendly template for building MCP servers, integrating CI/CD, Docker, and Documentation-as-Code.

Basic Example

Showcases a foundational Model Context Protocol server implementation with built-in tools and resources.

Perplexity

Analyzes code and provides debugging capabilities using the Perplexity AI API within the Claude desktop client.