learning & documentation를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 2384개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables AI-powered interview roleplay scenarios for interactive voice-based practice.
Extracts video metadata and captions from YouTube videos, converting them to markdown with customizable templates.
Automatically generates documentation, test plans, and code reviews for code repositories using AI.
Extracts transcripts from YouTube videos via the command line.
Manages AI tool context centrally to reduce sharing costs and improve development productivity.
Leverages AI to process, analyze, and extract information from technical documentation and product manuals.
Serves as a foundational example demonstrating how to build Model Context Protocol (MCP) servers with TypeScript, offering basic resources and tools.
Provides AI models with programmatic access to Obsidian vaults for searching, reading, and analyzing notes.
Transforms any GitHub repository into a searchable knowledge base for AI agents.
Provides intelligent recommendations for other Model Context Protocol (MCP) servers tailored to specific development requirements.
Queries and interprets Godot engine official documentation using a retrieval-augmented generation approach.
Provides an intelligent knowledge base system for document processing, knowledge Q&A, and vector library management.
Integrates Large Language Models with MySQL databases and Google Workspace for educational data management and analysis.
Empowers AI assistants with accurate Liquidsoap 2.4.0 documentation, examples, and script validation to eliminate hallucinations and version discrepancies.
Integrate Outline knowledge bases with Claude Code and other MCP clients for AI-driven document management.
Enables AI agents to automatically discover, install, and learn to use new tools without manual configuration or restarts.
Manages Intercom Help Center articles and collections, enabling creation, retrieval, updates, and searches.
Provides a natural language search interface over the historical archive of Merill Fernando's Entra.news newsletter, delivering sourced answers to user queries.
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.
Automates the creation of AGENTS.md files by analyzing codebases with tree-sitter, providing AI clients with structured project context.
Scroll for more results...