learning & documentation를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 2164개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Retrieves information from the AWS Knowledge Base using the Bedrock Agent Runtime, enabling Retrieval-Augmented Generation (RAG).
Retrieves Drupal module information from Drupal.org for enhanced development workflows.
Provides a simple notes system for Solana documentation context within the Model Context Protocol.
Explore and learn about Model Context Protocol (MCP) server implementations through a collection of experimental servers.
Analyzes code and generates documentation for projects.
Define, compose, and manage granular contexts for large language models, ensuring consistent and high-quality results across AI-powered development tasks.
Provides current and accurate commands for Python package managers by cross-referencing the latest official documentation.
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.
Offers a comprehensive open-source collection of AI projects, Model Context Protocol (MCP) servers, and extensive learning resources.
Provides AI assistants with intelligent, comprehensive access to the MAGMA computational algebra system handbook through advanced vector search and semantic understanding.
Provides a simple example for building an MCP server using FastMCP and Python, designed for use with Smithery.
Enhances Obsidian note-taking by providing a TypeScript server for vault management, advanced search, and graph analytics.
Provides AI agents with searchable access to any markdown content through discoverable resources and an embedded full-text search engine.
Automates the generation, conduction, and evaluation of exams through an AI-powered assessment platform leveraging RAG and multi-LLM validation.
Retrieves and cleans live, official documentation for various AI tools to provide up-to-date and accurate information.
Integrates LimeLink dynamic link management with AI assistants via the Model Context Protocol, enabling link creation, lookup, and management.
Provides comprehensive D&D 5e SRD content, enabling monster search, spell lookup, encounter building, and character tools using ground-truth data.
Enhances AEM Edge Delivery Services development within IDEs by providing a suite of specialized tools, resources, and prompt templates for LLM-assisted code generation.
Provides reference implementations for the Model Context Protocol, demonstrating how to enable Large Language Models with secure, controlled access to tools and data sources.
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