Developer Tools Servidores MCP
Descubre nuestra colección curada de servidores MCP para developer tools. Explora 5661 servidores y encuentra los MCP perfectos para tus necesidades.
Go-MCP
Simplifies building MCP servers in Go with a type-safe and intuitive SDK.
G-Search
Enables parallel Google searches with multiple keywords using a Playwright-powered MCP server.
Gemini
Enables Claude Desktop to interact with Google's Gemini AI models via a Model Context Protocol (MCP) server.
Armor Crypto
Enables access to blockchain interactions, swaps, staking, and crypto trading strategies for AI agents.
Openapi Mcp Generator
Generates Model Context Protocol (MCP) servers from OpenAPI specifications, enabling AI agents to interact with existing REST APIs.
BioMCP
Facilitates biomedical research by providing an open-source toolkit for AI assistants and agents to search and retrieve data on clinical trials, PubMed articles, and genomic variants.
FileScope
Analyzes codebases to identify important files based on dependency relationships, generating diagrams and importance scores to improve AI understanding.
Pixra
Enables the creation of reliable agent workflows with advanced reliability features for real-world applications.
Toolbase
Simplifies the addition of tools and plugins to Claude and other AI platforms.
Goku
Simulates HTTP traffic to benchmark and analyze web service performance.
Unsplash
Integrates Unsplash's image search capabilities into applications via a simple MCP server.
Revit
Enables AI interaction with Revit for data extraction, element manipulation, and code execution.
Search1API
Provides search and crawl functionality using Search1API through a Model Context Protocol (MCP) server.
Hub
Manages and monitors multiple Model Context Protocol (MCP) servers from a central location.
Unifai SDK
Enables Python developers to integrate with the Unifai AI platform for dynamic tools and agent communication.
Claude Code
Implements Claude Code's software engineering capabilities as a Model Context Protocol (MCP) server.
Quarkus Servers
Extends the capabilities of MCP-enabled LLM AI applications with various servers implemented in Java using the Quarkus framework.
Milvus
Provides access to Milvus vector database functionality through the Model Context Protocol (MCP).
Code Executor
Executes Python code from LLM prompts within a specified Conda environment.
Mcp-Nixos
Provides AI assistants with real-time access to NixOS packages, system options, Home Manager settings, and nix-darwin macOS configurations.
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