learning & documentation를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 2141개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Provides a comprehensive guide for verifying Model Context Protocol (MCP) server installation on Windows.
Demonstrates calculator operations via Server-Sent Events (SSE) and Standard Input/Output (STDIO) client-server communication modes.
Provides a basic Model Context Protocol (MCP) server demonstration with a web user interface.
Serves remote Markdown files as accessible MCP resources.
Provides AI agents with real-time access to Wikipedia for research and information retrieval.
Execute Python code in a secure, sandboxed environment for safe development and testing.
Provides seamless access to the Amplemarket Knowledge Base via Pylon's API for MCP-compatible clients like Claude Desktop.
Enhances the Kafka Docker Playground CLI experience by providing intelligent command completion, validation, and contextual assistance through GitHub Copilot.
Integrates BlackArch Linux security tools into a comprehensive server for educational penetration testing using the Model Context Protocol.
Provides a production-ready FastMCP reference server, bundled with hackathon resources and reusable starter prompts for Cursor integration.
Leverages Retrieval-Augmented Generation (RAG) to provide a powerful question-answering system for documents and code, featuring Google AI integration and multiple API interfaces.
Enables seamless semantic search over AWS Cloudscape documentation, assisting AI agents and coding assistants in retrieving relevant information.
Implements a JSON-RPC 2.0 real-time server using Node.js and Express, complete with a vanilla JavaScript frontend client for demonstration.
Guides AI agents through a structured dialog to converge on precise software specifications, eliminating silent defaults and reducing post-generation correction loops.
Enables AI models to semantically search and retrieve information from markdown documentation.
Optimizes AI token usage by providing surgical access to codebases through intelligent indexing and retrieval.
Provides queryable access to Godot Engine documentation through a Model Context Protocol server.
Provides AI clients with comprehensive access to Rapid7 technical documentation, product information, blog posts, and extensions.
Indexes codebases into a structured database, providing AI assistants with rich tools for code discovery, architecture planning, and task orchestration.
Provides AI coding assistants with access to Lean 4's InfoView data, exposing proof goals, diagnostics, types, and completions.
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