Discover our curated collection of MCP servers for learning & documentation. Browse 2445 servers and find the perfect MCPs for your needs.
Explores the Model Context Protocol (MCP), its concepts, operation, and potential future impact on AI tool integration.
Provides GitHub Copilot with persistent knowledge storage and retrieval capabilities using a local, semantic memory system.
Indexes and semantically searches Markdown documents using vector embeddings and a self-contained vector database.
Manages a comprehensive knowledge and rules suite for Tailscale networks, featuring semantic search capabilities powered by libSQL vectors and OpenAI embeddings.
Connects AI agents to remote Git repositories to fetch and search markdown documentation and notes.
Provides an MCP server to access and query historical merit records and public reports of independence patriots from the Ministry of Patriots and Veterans Affairs' electronic archives.
Demonstrates how to build Model Context Protocol (MCP) servers using the Python SDK.
Provides AI assistants with intelligent, comprehensive access to the MAGMA computational algebra system handbook through advanced vector search and semantic understanding.
Provides a simple example for building an MCP server using FastMCP and Python, designed for use with Smithery.
Provides AI tool capabilities for searching and fetching content from the Adobe Experience League documentation site.
Provides Large Language Models with secure, read-only access to local documentation for context-aware search and content extraction.
Provides comprehensive Cantonese dictionary lookup and linguistic analysis functionality via an MCP server.
Automates the generation, conduction, and evaluation of exams through an AI-powered assessment platform leveraging RAG and multi-LLM validation.
Integrates LimeLink dynamic link management with AI assistants via the Model Context Protocol, enabling link creation, lookup, and management.
Empowers AI agents to automatically detect, find, and apply community-verified technical solutions in real-time.
Manages handbook entries directly from AI clients via the Model Context Protocol.
Enables AI assistants to generate architecture, infrastructure, and system overview diagrams in the versatile .drawio.svg format.
Scrapes, caches, and serves documentation from various preconfigured sites for AI-powered development tools.
Create adaptive learning courses using AI agents, defining content as YAML knowledge graphs, and deploy with built-in diagnostics, spaced repetition, and billing.
Provides AI-powered access to Turkish building regulations, architectural standards, and construction calculation tools.
Scroll for more results...