Developer Tools Servidores MCP

Descubre nuestra colección curada de servidores MCP para developer tools. Explora 6480 servidores y encuentra los MCP perfectos para tus necesidades.

Code To Tree icon

Code To Tree

Converts source code into an Abstract Syntax Tree (AST) for multiple languages.

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Wasabina67

Provides a Python example implementation for an MCP server.

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Esa

Enables interaction with the esa.io API via the Model Context Protocol (MCP).

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Devto Agent

Automates interactions with the Dev.to platform, enabling content creation, article management, and user profile interactions through intelligent agent communication.

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Blockbench

Integrates a Model Context Protocol server into Blockbench, enabling advanced model interactions.

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Browser Use

Enables LLMs to interact with web browsers through a server using SSE transport for executing tasks and retrieving results.

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Multi

Proxies requests to multiple MCP (Message Component Protocol) servers.

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Mentor

Provides LLM Agents a second opinion via AI-powered mentorship capabilities, including code review, design critique, writing feedback, and idea brainstorming through the Deepseek API.

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Flightradar24

Tracks flights in real-time using Flightradar24 data within Claude Desktop.

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N8n

Automates workflows by combining visual building with custom code and native AI capabilities.

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Obsidian

Enables LLMs to interact with and manage Obsidian vaults through the Model Context Protocol.

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Code Analyzer

Analyzes code for bugs, errors, and functionality issues across various languages.

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Browser Automation

Provides programmatic browser control for AI assistants compatible with the Model Context Protocol.

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Perplexity

Provides Model Context Protocol (MCP) server implementations for interacting with Perplexity AI models.

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My

Integrates AI-powered tools with platforms like Claude Desktop via the Model Context Protocol.

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Backlog

Integrates with Backlog to enable access and manipulation of Backlog data through MCP Server.

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Workshop

Integrates external APIs into developer environments via custom Model Context Protocol servers.

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LLMs

Exposes project-specific `llms.txt` files as resources for AI context enhancement via the Model Context Protocol.

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VenGr0

Provides an API to retrieve current exchange rates, weather forecasts, and recent news summaries.

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DreamCats

Encodes and decodes strings using the Model Context Protocol (MCP).

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