developer tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 20484개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables seamless access to OpenAI models directly within the Claude Desktop application.
Converts various file formats to Markdown using the MarkItDown utility via the Model Context Protocol (MCP).
Facilitates fetching information from Hacker News via a Model Context Protocol (MCP) server.
Enables AI assistants to interact with and extract information from a Logseq knowledge graph.
Provides AI models with rich UI context and powerful interaction capabilities using Microsoft OmniParser and Model Context Protocol (MCP).
Enables LLMs to perform AI-powered web searches using the Tavily search API.
Dynamically configure Model Context Protocol (MCP) server arguments at runtime.
Demonstrates building an MCP server in Node.js with custom tools for seamless integration with AI-assisted environments.
Provides comprehensive tools for interacting with PocketBase databases, enabling advanced database operations, schema management, and data manipulation through the Model Context Protocol (MCP).
Provides token-efficient access to OpenAPI/Swagger specifications via MCP Resources for client-side exploration.
Enables AI assistants to execute shell commands securely and auditably through the Model Context Protocol.
Enables AI agents to connect to and control bots within Minecraft servers, leveraging a comprehensive set of pre-built skills.
Provides AI assistants with real-time, up-to-date Flutter and Dart documentation, including comprehensive pub.dev package information.
Provides a server to retrieve synchronized transcripts from YouTube videos.
Manages Linear issues, projects, and other entities via an optimized Model Context Protocol (MCP) server designed for language models.
Provides a Model Context Protocol (MCP) server to control and monitor Nav2 navigation operations for robots.
Provides sandboxed file system access for AI agents to explore directories, read, search, and safely edit text-based files.
Automates software development tasks by continuously delegating work to autonomous AI agents, building features, fixing bugs, and shipping code.
Enables Node.js applications to programmatically interact with the Transloadit API for comprehensive file uploading, encoding, and processing workflows.
Orchestrate AI-native ontology engineering with a Rust-based engine for building, validating, querying, and reasoning over RDF/OWL ontologies.
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