developer tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 15093개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Manages Azure Cloud PCs using the Microsoft Graph API.
Connects AI assistants to the TON blockchain through a Model Context Protocol (MCP) server.
Enables the use of the Symbol blockchain's REST API as Model Context Protocol (MCP) tools.
Provides GitHub API tools for user information, security issue creation, and repository security scanning.
Provides an MCP server interface for PostgreSQL database introspection and analysis.
Provides a development practice repository for building MCP Servers using Node.js and TypeScript.
Deploys an unauthenticated Model Context Protocol (MCP) server to Cloudflare Workers for remote tool execution.
Enables Large Language Models to query live TaxJar data by exposing it as relational SQL models through an MCP interface.
Provides a framework for building Model Context Protocol (MCP) servers utilizing the Server-Sent Events (SSE) protocol.
Integrates AI assistants with SonarQube to enable natural language interaction for code quality analysis, project management, and security insights.
Exposes PostgreSQL databases as Model Context Protocol resources and tools via HTTP and Stdio transports.
Fetches random 'Looks Good To Me' images, providing both direct URLs and markdown for embedding in communications.
Provides an intentionally insecure server for hands-on cybersecurity education and vulnerability demonstration.
Enhances AI agent capabilities for personal workspace management by providing automated project documentation, cloud infrastructure access, and code analysis.
Provides a unified email management interface for AI assistants, supporting multiple providers and accounts.
Provides a GraphQL interface for interacting with MCP servers.
Provides AI agents with episodic memory and architectural awareness to prevent context loss in long-running development workflows.
Enables AI assistants to execute browser automation tasks by turning casual browser actions into reusable tools.
Exposes Google Gemini's full capabilities, including multimodal vision, code execution, grounding, and structured output, to any Model Context Protocol client.
Coordinates multiple AI agents through a shared Markdown task file, enabling atomic claiming, completing, and tracking of development tasks via Model Context Protocol (MCP) tool calls.
Scroll for more results...