Discover our curated collection of MCP servers for learning & documentation. Browse 2157 servers and find the perfect MCPs for your needs.
Manages and stores code snippets across different programming languages using a standardized server interface.
Provides a deliberately vulnerable Model Context Protocol (MCP) server for security research and AI/ML security learning.
Provides an integrated server and UI panel within VS Code/Cursor for retrieving and displaying command-line tool documentation.
Caches a codebase as a graph to provide LLMs with efficient code memory.
Generates automated mind maps to facilitate studying, reviewing, comparing, and presenting various topics.
Searches and retrieves academic papers from arXiv using the Model Context Protocol.
Builds a RAG-based HR chatbot that provides workplace rules using a localhost MCP server.
Provides an AI-powered conversational assistant for interacting with Microsoft Learn documentation via a modern web interface.
Enables AI language models to securely interact with Microsoft OneNote data for comprehensive reading, writing, and editing.
Provides a specialized physics-focused Model Context Protocol (MCP) server with advanced computational, plotting, and natural language interface capabilities for scientific workflows.
Provides a comprehensive Model Context Protocol server for Stacks blockchain development, offering over 30 specialized tools for Clarity smart contracts, SIP compliance, security, and performance optimization.
Provides LLMs with semantic search capabilities over Markdown documentation stored in S3, leveraging 100% local embeddings to eliminate API costs.
Manages a local knowledge base of technical guides and reusable contexts for AI agents, enabling persistent access to specialized information.
Ensures the accuracy of academic citations by verifying them against the CrossRef database, preventing large language models from hallucinating references.
Provides RimWorld source code search and browsing capabilities within an MCP server environment.
Empowers AI agents to read, edit, and manage Wikidocs books and blogs through the Model Context Protocol.
Empower large language models with a persistent, version-controlled knowledge base to complete and reuse thoughts across sessions and agents.
Provides AI agents with a professional, multi-source server for biomedical literature research and advanced analysis.
Exposes PostgreSQL documentation as Model Context Protocol (MCP) tools and resources for AI agents.
Automates the extraction, storage, and intelligent retrieval of development insights from commit history, providing universal AI context.
Scroll for more results...