developer tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 12972개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Provides a standardized interface for Large Language Models to interact with GitHub and GitLab repositories, issues, and CI/CD pipelines.
Enhances the Gemini CLI experience with specialized Model Context Protocol extensions, notably automating intelligent Git commit message generation.
Provides comprehensive quantum computing capabilities by integrating with Amazon Braket services.
Manages Model Context Protocol (MCP) interactions with a central proxy, intelligent agent, and a suite of mock services for seamless AI development and integration.
Enables private GPT deployments for MAS developments.
Optimizes LLM usage by streamlining tool calls with code generation and sandbox execution for reduced costs and latency in any model.
Enables Large Language Model applications to securely execute arbitrary shell commands.
Enables MCP Clients to retain and retrieve user information across conversations using vector search for contextual recall.
Facilitates seamless integration between Claude and OpenAI's GPT-5 API using the Model Context Protocol.
Integrates Azure DevOps with GitHub Copilot Chat, enabling natural language queries for work items directly within your IDE.
Facilitates agentic RAG for JIRA case management by integrating Strands Agents with Amazon Q Business and Perplexity Ask.
Provides AI tool capabilities for searching and fetching content from the Adobe Experience League documentation site.
Provides a Model Context Protocol (MCP) server for Warp integration and a traditional HTTP REST API for development.
Facilitates AI agents' interaction with Azure DevOps wikis by providing comprehensive wiki operations via the Model Context Protocol.
Provides real-time weather information for cities by integrating with the Open-Meteo API within a Model Context Protocol (MCP) server.
Enables AI assistants to interact with WordPress sites through the WordPress REST API.
Automates machine learning workflows, from data analysis to model deployment, with Model Context Protocol integration.
Retrieves data from the Twitch API, including channel information, stream details, game data, and more.
Connects AI coding agents to Figma design data, enabling one-shot design implementation directly within your IDE.
Enables natural language screenshot capture on macOS using the Model Context Protocol (MCP).
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