Discover our curated collection of MCP servers for learning & documentation. Browse 1555servers and find the perfect MCPs for your needs.
Provides calculator tools, document resources, and prompt templates via a single server implementation.
Provides AI agents with professional development guidelines, coding standards, and best practices for writing production-quality code.
Provides access to PrimeVue documentation through a Model Context Protocol server.
Develop and experiment with modular conversational AI agents powered by LangGraph and the Model Context Protocol (MCP).
Experiments with MCP server technology to explore its capabilities and behaviors.
Provides a learning environment for understanding and implementing Model Context Protocol (MCP) servers.
Enables AI to control Obsidian notes through a local REST API and automate Git synchronization.
Serves as a Node.js-based Model Context Protocol server, exposing utility tools for interaction.
Serves as a basic Model Context Protocol server, offering a `calculate` tool for fundamental mathematical operations.
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.
Answers HR policy questions from your own documents, retrieving relevant sections from a vector database to generate grounded responses with citations using OpenAI or Gemini.
Connects AI agents to remote Git repositories to fetch and search markdown documentation and notes.
Demonstrates core functionality of a Model Context Protocol server, showcasing extensible tools and dynamic resource handling.
Enables searching YouTube content through various implementation approaches, including direct API calls and the Model Context Protocol (MCP).
Exposes a JSON-RPC endpoint for retrieving simplified weather data from OpenWeatherMap.
Enables the construction of remote MCP servers featuring robust authentication and authorization capabilities via OAuth2.1.
Empower Claude Desktop with private, hallucination-free knowledge retrieval from your local documents.
Showcases projects related to Anthropic's Model Context Protocol (MCP).
Provides current and accurate commands for Python package managers by cross-referencing the latest official documentation.
Exposes advanced Notion search, reading, summarization, and emotion-analysis capabilities to any MCP-compatible LLM client.
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