developer tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 20576개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Serves Julia documentation and source code efficiently to Claude Desktop.
Provides example Model Context Protocol (MCP) servers for use with GitHub Copilot Chat.
Enables multi-agent conversations through a standardized interface using Microsoft's AutoGen framework.
Enables Large Language Models to interact with macOS by providing system tools for AI assistants to perform operations.
Access real-time and historical Formula 1 racing data via the Model Context Protocol.
Automates web testing workflows by integrating with AI coding assistants to record, execute, and discover test steps using natural language.
Provides test results context to AI agents by connecting them to Currents.
Enables policy-driven vetting of open source dependencies within GitHub workflows to actively protect against vulnerabilities and malicious components.
Cryptographically signs and verifies AI agent tool schemas to prevent supply-chain attacks.
Provides contextual information about food products to AI-powered development tools using the official Model Context Protocol (MCP) specification.
Facilitates direct integration with the SATIM e-payment gateway for Algerian CIB/Edhahabia card transactions.
Enables AI assistants to directly control and interact with Commodore 64 Ultimate hardware over a local network.
Automate the editing and manipulation of HWPX documents, including text, tables, images, and styles, through an MCP server.
Enables AI assistants to control EPLAN Electric P8 directly through the Model Context Protocol for real-time automation.
Render interactive Mermaid diagrams with live preview, theme switching, and fullscreen editing.
Facilitates agentic AI interaction with the UI5 Web Components framework to enhance developer workflows.
Transform hand-drawn Excalidraw diagrams into dynamic keyframe animations using a comprehensive timeline editor, camera controls, and sequence reveals, with optional AI-driven creation and real-time live preview.
Transforms human feedback into preventative gates to block AI coding agent mistakes before they execute.
Facilitates seamless communication among AI agents across different tmux panes, allowing them to read, type, and send messages to each other programmatically.
Exposes sktime's native registry and semantics to Large Language Models, enabling discovery, reasoning, composition, and execution of time series workflows.
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