Developer Tools Servidores MCP

Rambling Thought Trail

Extends a sequential thinking environment.

Ahma

Transforms command-line and web tools into asynchronous, concurrent Model Context Protocol (MCP) AI agents, enabling faster, multi-threaded AI workflows.

Relay

Enables Claude to interact with Discord channels by sending prompts and receiving responses.

Windows Driver Input

Provides driver-level keyboard and mouse input control for Windows applications via a standalone Model Context Protocol (MCP) server.

My Credentials

Provides secure PostgreSQL database operations and comprehensive credential generation tools integrated with Claude Desktop.

Tambo Docs

Serves Tambo documentation via a Model Context Protocol (MCP) server, enabling seamless integration with AI-powered development environments.

Puch AI Starter

Facilitates the creation of custom Model Context Protocol (MCP) servers, enabling AI assistants like Puch AI to securely interact with external tools and data sources.

Move Agent Kit

Simplifies the integration of AI agents with Move-based blockchains for interacting with DeFi protocols.

Unity

Provides real-time, AI-powered control over the Unity Editor for automation and streamlining game development workflows.

Server Template for Cursor IDE

Provides a template for creating custom tools for the Cursor IDE using the Model Context Protocol (MCP).

KIMI

Performs web searches using DuckDuckGo within a client-server environment.

Teamate

Provides an HTTP API service for MCP Teamate.

Smooth Ocean

Provides AI-powered developer support for debugging Django and MySQL applications through a multi-agent pipeline.

Iris

Facilitates seamless communication and coordination among Claude Code instances operating across diverse project directories.

Coro Cpp

Provides a lightweight C++ coroutine library built on C++20, offering a foundational framework for Model Context Protocol (MCP) servers.

Things

Enables AI assistants to directly manage tasks and projects within Things.app on macOS.

Docrag

Empower large language models to access and retrieve technical documentation on-demand through a RAG system and MCP server.

Playwright

Enables LLM-powered clients to control a browser for automation tasks via the Model Context Protocol.

Mcp Client Local

Facilitates interaction with an LLM-powered chatbot following the Model Context Protocol.

Fetch

Facilitates web content retrieval and processing, including image extraction, for AI models via a customizable HTTP proxy.