Discover our curated collection of MCP servers for learning & documentation. Browse 2168 servers and find the perfect MCPs for your needs.
Provides Unix command documentation directly within LLM conversations.
Enables Large Language Models to retrieve and reference Jewish texts from the Sefaria library through a standardized interface.
Answers questions about the Peacock VS Code extension by fetching and querying its official documentation.
Demonstrates a Model Context Protocol (MCP) server showcasing dynamic tools and resources through a number guessing game.
Experiment with Anthropic's Claude and the Model Context Protocol (MCP) through an interactive web interface.
Connects AI assistants to arXiv, enabling search, analysis, and download of research papers within AI workflows.
Provides centralized knowledge management for projects, enabling storage, search, and maintenance of project-specific information that persists across sessions.
Provides current local datetime information in a clean single-line format.
Provides access to SaaSus Platform documentation search and content via Model Context Protocol (MCP) for AI clients like Claude Desktop and Cursor.
Offers concise, topic-wise notes on machine learning, combining mathematical foundations, practical perspectives, and architectural overviews with diagrams.
Provides seamless access to academic literature databases, enabling researchers to accelerate their literature review process with LLMs and MCP clients.
Automates AI-assisted flashcard generation and management within Anki via an MCP server.
Centralizes documentation, examples, and search tools to enhance development with InterSystems IRIS ObjectScript.
Manage, organize, and search personal or professional notes in Markdown format through a Model Context Protocol (MCP) server.
Simplifies documentation by leveraging AI for semantic understanding and search of content.
Empowers AI assistants with RAG-based semantic search over WSO2 documentation, leveraging multiple embedding providers and a pgvector backend.
Provides AI agents with structured access to markdown documents for precise, outline-guided information retrieval.
Connects AI assistants to the Zread.ai documentation platform, enabling them to read GitHub repository documents, search code, and engage in conversations with repository-specific AI.
Enables semantic search across codebases and conversation histories, providing documentation gap analysis and contextual awareness for AI agents.
Integrates York University's eClass with Claude, providing AI-assisted access to academic information like assignments, deadlines, and grades.
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