learning & documentation를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1351개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Validates and renders Mermaid diagrams for use with LLMs, incorporating an essential fix for WSL stdin.
Renders Mermaid diagrams into various image formats and integrates seamlessly with AI editors via the Model Context Protocol.
Integrates a Model Context Protocol (MCP) server with Microsoft Copilot Studio to deliver various types of jokes.
Integrates AI assistants like Claude and Cursor with SiYuan Note, enabling seamless interaction and management of personal knowledge bases.
Stores and retrieves information using vector embeddings to enable semantic search capabilities.
Provides a Retrieval-Augmented Generation (RAG) database for PDF documents, leveraging semantic chunking and vector search for intelligent content retrieval.
Automates the generation of Anki flashcards from Notion pages, converting toggle blocks into structured cards using AI and real-time import via AnkiConnect.
Provides an intelligent search and retrieval system for Pybricks documentation and code examples.
Provides advanced vector store operations, document search, and information retrieval through a Model Context Protocol (MCP) interface.
Connects Claude AI to the BrianKnows API, providing access to blockchain and DeFi knowledge.
Provides an AI-powered tutoring system leveraging Retrieval-Augmented Generation (RAG) for personalized learning experiences.
Provides AI assistants with local access to Ramp's developer documentation, API schemas, and development guidance for seamless integration workflows.
Facilitates searching and querying documentation and GitHub code examples for the Onyx programming language.
Empowers AI programming assistants with direct, real-time access to the comprehensive MQL5 official documentation.
Provides an educational example of an MCP server to expose tools, resources, and prompts to AI clients using the FastMCP library.
Generate stunning syntax-highlighted code screenshots effortlessly for professional sharing and documentation.
Enables AI models to query and analyze Practera learning data through a GraphQL API.
Creates persistent, personally-owned AI memory systems for continuous human-AI collaboration and compounding intelligence across platforms.
Demonstrates a basic MCP server implemented in C# for retrieving Taiwan stock information.
Provides a hands-on implementation of an stdio MCP server to demystify the Model Context Protocol.
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