learning & documentation를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 2141개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Analyzes code and generates documentation for projects.
Provides a foundational example for integrating custom tools with the Gemini CLI using the Model Context Protocol (MCP).
Empowers AI coding agents to access and leverage your personal historical documents for intelligent template generation and pattern recognition.
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.
Organizes and provides searchable access to project documentation stored in local markdown files.
Provides semantic search and Retrieval-Augmented Generation (RAG) capabilities for markdown documentation.
Provides AI assistants with intelligent, comprehensive access to the MAGMA computational algebra system handbook through advanced vector search and semantic understanding.
Fetches and reads official documentation in real-time, providing instant, context-aware answers to developers within their AI assistant.
Provides a simple example for building an MCP server using FastMCP and Python, designed for use with Smithery.
Manages intelligent versioning of code projects and automates documentation generation, offering CLI, REST API, and MCP interfaces for modern development workflows.
Offers extensive tools, resources, and prompts by integrating Google Custom Search and Wikipedia functionality for advanced research and information retrieval.
Enables AI assistants to save and semantically search bookmarks using OpenAI's Retrieval Augmented Generation (RAG) capabilities.
Efficiently search Model Context Protocol documentation with high-quality BM25 search and on-demand content fetching.
Streamlines LaTeX manuscript compilation with robust command-line interface and MCP server capabilities.
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.
Provides Retrieval Augmented Generation (RAG) capabilities for your markdown documentation.
Provides a repo-local, per-git-branch, queryable knowledge base for software projects, storing linked entities to ensure end-to-end traceability between code and documentation.
Provides a comprehensive MCP server for the Pipecat voice AI framework, enabling intelligent search and retrieval from documentation and GitHub issues via Claude Desktop or Cursor.
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