learning & documentation를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 2392개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Showcases projects related to Anthropic's Model Context Protocol (MCP).
Showcases Riml's portfolio and provides information about Riml.
Provides a foundational Model Context Protocol (MCP) server implementation with boilerplate code for user and project management functionalities.
Extracts PDF annotations, highlights, and text, enabling AI clients to safely interact with document content.
Provides development assistance and comprehensive documentation access for AppCan applications.
Enables AI assistants and developers to fetch, explore, and analyze source code from any Python package on PyPI.
Converts PDFs, arXiv pages, or webpages into NotebookLM notebooks, generating audio and infographic artifacts in a single workflow.
Enable AI-powered access to 523 Singapore Acts for legal research and compliance directly from MCP-compatible clients.
Provides a comprehensive, AI-searchable database of 93 Vietnamese statutes for legal research and compliance.
Integrates Atlassian Jira and Confluence platforms with Claude Desktop/Code, enabling AI-powered interaction with project management and knowledge bases.
Facilitates querying and exploring API definitions and parameters directly from Swagger documentation within the Cursor environment.
Serves a team's comprehensive engineering standards to AI assistants like Claude Code, covering development practices from Git to deployment.
Exposes the Dalamud plugin API documentation to AI assistants, facilitating the development of FFXIV Dalamud plugins.
Provides a server for searching and retrieving Kiwoom Securities REST API documentation.
Provides a local-first, file-based knowledge base for AI models like Claude, enabling persistent storage, search, and ingestion of notes and documentation.
Expose tools to query and manage SQL Server table and column documentation via extended properties.
Consolidates all Markdown files from a project into a single `combined.md` for seamless integration with NotebookLM and AI agents via MCP.
Manages documents through multi-format extraction, semantic search, OCR, and hash-based deduplication, ensuring source integrity and efficient retrieval.
Captures, manages, and retrieves personal developer knowledge, including code snippets and a markdown knowledge base.
Provides a persistent memory system for AI coding assistants like VS Code Copilot, significantly enhancing its long-term context and intelligence.
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