developer tools向けの厳選されたMCPサーバーコレクションをご覧ください。20371個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Fetches comments from GitHub Pull Requests, including file paths, line ranges, and replies, using a personal access token.
Enables AI agents to manage feature flags within the Unleash feature flag management system programmatically.
Kickstarts the development of Model Context Protocol (MCP) applications using TypeScript.
Enables AI-powered tasks within your terminal using agents and MCP.
Enables Claude Desktop to analyze PDF files using Google's Gemini AI models via API.
Provides Japanese postal code to address lookup functionality for AI assistants and other Model Context Protocol clients.
Securely connect Claude Code to OpenAI and Google Gemini large language models with advanced content and prompt security.
Enables AI assistants to interact with web pages through standardized browser automation capabilities.
Validates code and content against official Model Context Protocol specifications, ensuring technical accuracy and preventing misinformation.
Provides a comprehensive Model Context Protocol (MCP) server template for Node.js with TypeScript, supporting both stdio and SSE transports.
Automates key aspects of software development, from meeting transcription and AI analysis to comprehensive documentation generation and mobile testing.
Provides comprehensive tools for managing Scalekit environments, organizations, users, and SSO connections via natural language queries.
Empower AI agents and desktop clients to generate music through natural language commands using an advanced AI music platform.
Manages and stores AI conversation records from various integrated development environments.
Orchestrates multi-agent coordination for AI coding agents, enabling simultaneous work on a codebase using a Model Context Protocol server.
Enables local Chrome/Chromium tab automation for OpenCode clients by relaying Chrome DevTools Protocol commands without remote debugging.
Enables AI applications to securely receive and make cryptocurrency payments directly on-chain.
Provides persistent memory for GitHub Copilot, ensuring context is retained across chat sessions.
Cleans noisy web pages, extracting only relevant text for large language model consumption.
Equips AI agents with deep code understanding by building structured indexes like AST, call graphs, and type graphs, facilitating precise semantic search.
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