developer tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 12981개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables system interaction through operating system APIs for file system operations and command execution, functioning as a local office AI assistant.
Enables AI assistants to securely interact with Azure DevOps through a standardized protocol.
Exposes Visual Studio Code editing features to an LLM for AI-assisted coding.
Enhances coding context for Large Language Models and accelerates the development of AI-assisted programming applications.
Provides practical code examples demonstrating the usage of Spring AI for various AI-related tasks.
Enables running Claude Desktop on Linux systems using a Nix flake.
Facilitates advanced, AI-powered real-time market analysis for cryptocurrencies and stocks.
Enables LLM applications to perform in-depth research through the MCP protocol.
Executes code securely within isolated Docker containers, providing a safe environment for AI applications.
Enables decoupled agent-tool interaction by providing a working pattern for Server-Sent Events (SSE) based Model Context Protocol (MCP) clients and servers.
Provides AI agents and applications with seamless access to Mapbox's geospatial intelligence platform through the Model Context Protocol.
Securely reads and extracts text, metadata, and page counts from PDF files (local or URL) for use by AI agents.
Transforms OpenAPI specifications into Model-Context-Protocol servers and remixes existing servers.
Enables AI code assistants to access and debug Node.js applications at runtime.
Empowers developers to create robust, efficient, and scalable web and CLI applications using a lightweight, modular Java framework with AI integration.
Enables code searching in a codebase using ast-grep CLI within an MCP environment.
Enables AI assistants to interact with Argo CD applications and resources through natural language.
Implements Claude Code-like functionality using the Model Context Protocol, enabling code understanding, modification, and execution.
Provides financial insights and analysis to Large Language Models via a Model Context Protocol (MCP) server.
Integrates DeepSeek's language models with Model Context Protocol-compatible applications.
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