Developer Tools Servidores MCP
Descubre nuestra colección curada de servidores MCP para developer tools. Explora 8332 servidores y encuentra los MCP perfectos para tus necesidades.
Upstash
Enables natural language interaction with Upstash services through the Model Context Protocol.
Optivise
Enhances AI-assisted Optimizely development by providing curated, contextual information to Large Language Models.
Developer Overheid API Register
Enables AI tools to interact with the Developer Overheid API Register through MCP tools.
Yop
Provides a foundation for developing Java projects using Roo Code.
Redmine
Integrates Redmine with LLMs by providing ticket and project information via the Model Context Protocol.
UUIDv7 Generator
Generates universally unique identifiers (UUIDv7) as an MCP server tool.
Mcp-tools
Provides a collection of MCP tools.
Prombank
Manages and serves AI prompts with versioning and seamless integration for development environments like Cursor.
Claude Parallel
Enables parallel execution of multiple Claude prompts, leveraging file contexts and output redirection.
Enhanced Gemini
Performs comprehensive codebase analysis by loading entire projects into Google's Gemini AI's 1M token context window.
Airgen
Generates images, banners, logos, icons, and SVGs.
Amrit Singh
Provides a collection of tools spanning various software development and management categories.
Agentic
Exposes runtime MCP Server vulnerabilities related to GitHub and Linear integrations.
DevServer
Manages multiple development servers with a unified interface and TUI, enabling programmatic control.
Popmelt
Generates styled React components using natural language commands via the Popmelt Model Context Protocol (MCP).
Claude Code
Aggregates MCP services suitable for use with Claude AI.
Interactive
Enables interactive communication between LLMs and users through local OS notifications and command-line prompts.
Spotify
Enables programmatic interaction with Spotify accounts through a standardized MCP interface, facilitating search, playback control, and content management.
Python
Enables large language models to interact with Python environments for code execution, file operations, and development workflows.
Lsp-Tools
Enables Language Server Protocol-like text analysis functionality via a Model Context Protocol (MCP) server.
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