Discover our curated collection of MCP servers for learning & documentation. Browse 2141 servers and find the perfect MCPs for your needs.
Provides AI assistants with access to shadcn/ui component documentation, examples, and API details via the Model Context Protocol (MCP).
Provides a Model Context Protocol (MCP) server that enables comprehensive interaction with the Moodle Learning Management System (LMS) Web Services API.
Demonstrates a complete e-commerce application integrating the Model Context Protocol with the FakeStore API.
Extracts survey content and bibliography in BibTeX format directly from arXiv papers.
Demonstrates how to implement a Model Context Protocol (MCP) server in Python.
Streamlines README file management for development projects by automating creation, content generation, summarization, and AI-driven analysis.
Integrates external joke APIs with Microsoft Copilot Studio via a Model Context Protocol server.
Provides up-to-date, version-specific documentation and code examples directly to AI language models.
Provides AI assistants with programmatic access to private React component library documentation and code examples.
Provides a basic Model Context Protocol server featuring an addition tool.
Provides a robust set of development tools, dynamic resources, and reusable prompt templates to enhance software development workflows.
Provides AI assistants with direct, file-first access to local document collections, offering full-text search, fuzzy matching, and hierarchical context for various document types.
Provides comprehensive, actively maintained n8n skills for AI assistants, consolidating best practices and crucial community fixes.
Indexes Anthropic's official documentation into a local, searchable SQLite FTS5 database for instant access within Claude Code.
Provides persistent memory and context management for AI coding agents across sessions.
Provides intelligent Python code analysis, navigation, and understanding capabilities for AI assistants via an extensible MCP server.
Connects AI models to the full Swiss academic library infrastructure, including swisscovery, e-rara, e-periodica, and e-manuscripta, via standardized, open protocols.
Ingest PDF folders into a local vector database for semantic search and expose them as tools to MCP clients.
Integrate Claude with Google NotebookLM to generate podcasts, videos, quizzes, and other content through natural language prompts.
Access and contribute to a vast database of community-verified fixes for technical errors directly through an AI assistant.
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