developer tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 20598개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Retrieves cryptocurrency listings and quotes from the CoinmarketCap API.
Performs automated accessibility scans of web pages using Playwright and Axe-core.
Enables editing and processing of PDF, Word, Excel, and CSV documents.
Detects typosquatting, phishing, and corporate espionage by providing a Model Context Protocol (MCP) server for dnstwist.
Enables Large Language Models to explore and understand OpenAPI specifications through specialized tools.
Enables AI assistants like Claude to interact with and manipulate 3D models within Rhino 3D.
Enables AI assistants to interact with email, process messages, and learn user preferences through an IMAP Model Context Protocol server.
Enables natural language management of Active Directory users, groups, and computer objects.
Integrates Sequential Thinking as a context server for the Zed editor's Assistant feature.
Enables AI assistants to interact with WordPress sites programmatically through the WordPress REST API.
Scaffold a new MCP Server project quickly.
Provides language models with essential random number and token generation capabilities.
Transforms feature ideas into production-ready code using a systematic Spec-Driven Development approach.
Connects AI assistants to your ShadowGit history, enabling sophisticated code analysis and debugging.
Empowers an AI assistant with comprehensive cross-platform system control and a vast arsenal of tools for management, security, and automation.
Integrates the Just command runner with AI assistants, enabling discovery, execution, and introspection of Justfile recipes via the Model Context Protocol.
Integrate the YNAB (You Need A Budget) API with AI assistants, enabling natural language control over personal finances.
Provides a dynamic server for AI agents to perform runtime analysis and advanced process manipulation.
Enables AI models to generate a wide range of interactive visualizations like charts, diagrams, and UI mockups by providing on-demand design guidelines.
Make any repository AI-agent-ready with a single command, generating a token-efficient codebase index.
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