Discover our curated collection of MCP servers for learning & documentation. Browse 1661servers and find the perfect MCPs for your needs.
Extracts clean, focused documentation from websites for human readers and LLM consumption.
Access consolidated Spanish legislation, daily summaries, and legal reference data directly through MCP-compatible clients like Claude AI.
Enables AI assistants to automatically analyze codebases and generate comprehensive, professional documentation.
Automatically generates visual architectural diagrams, including dependency graphs, class diagrams, and data flow diagrams, from codebase analysis.
Empower AI with persistent memory and human-like thinking capabilities through a comprehensive management system.
Provides a template repository for running a local language model with an included knowledge base.
Empower large language models to access and retrieve technical documentation on-demand through a RAG system and MCP server.
Delivers official Next.js 16 documentation directly to AI assistants and editors to ensure accurate and up-to-date development guidance.
Leverages AI to process, analyze, and extract information from technical documentation and product manuals.
Integrates Stack Overflow into LLM-based coding workflows by providing real-time access to solutions and encouraging knowledge contribution.
Provides access to Google Classroom data through Claude and other AI assistants that support the MCP protocol.
Serves offline Qt 4.8.4 documentation, converting HTML to Markdown and providing full-text search to Agents, LLMs, and IDEs.
Indexes Bevy documentation, embeds it into a vector database, and enables similarity search for queries.
Provides a queryable collection of software development standards and best practices for AI agents.
Offers a diverse collection of development tools and code samples spanning C++, C, .Net, TypeScript, and Python.
Provides structured project specification management capabilities for AI editors through a specification-driven development workflow.
Manages and stores AI conversation records from various integrated development environments.
Offers a collection of sample projects and resources for backend development.
Provides AI coding assistants with access to current, comprehensive Python library documentation, eliminating frustration from outdated examples and incorrect information.
Provides intelligent discovery and search capabilities for Swagger/OpenAPI endpoints, enabling AI assistants to dynamically explore and interact with REST APIs.
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