Developer Tools MCP Servers

Sentice

Provides a Model-Context-Protocol (MCP) server for integrating with backend services and facilitating development and debugging in a Docker environment.

Dart

Implements the Model Context Protocol (MCP) in Dart.

Community Research

Find battle-tested solutions to coding problems from across the programming community, bypassing generic documentation and AI hallucinations.

Trepo

Converts OpenAPI specifications into server-ready tools.

Twitch

Retrieves data from the Twitch API, including channel information, stream details, game data, and more.

Handsai

Enables Large Language Models (LLMs) to dynamically discover and execute API tools through a unified Model-facing Controller Protocol (MCP) interface.

Docker Management

Empower AI models like Claude to securely and intuitively manage Docker containers using the Model Context Protocol.

Vibe Coding

Automate the collection, summarization, documentation, and publishing of code and design decisions from AI coding sessions.

Markdown Template

Automate the transformation of markdown templates into both FastAPI endpoints and MCP tools, streamlining development workflows.

Run Python

Execute Python code in a secure, sandboxed environment for safe development and testing.

Product

Manages product catalog operations, including adding, searching, and retrieving product details.

Magic

Exposes a remote MATLAB service for generating magic squares as an MCP server tool.

Yf

Provides a minimal FastMCP server template, optimized for Render deployment with streamable HTTP transport.

MCP

Exposes Figma-related tools to Large Language Model clients over standard input/output for design interaction and code generation.

License Scanner

Scans project dependencies to generate comprehensive markdown license reports.

SEO Audit

Performs comprehensive technical SEO audits with Lighthouse integration, site crawling, and automated report generation.

ZMap

Enables network subnet and port scanning through natural language prompts within Claude Desktop.

Python Weather

Provides real-time weather data for specified locations via an AI agent-accessible tool built with the Model Context Protocol (MCP).

Mcptest

Provides a comprehensive lab environment to deploy Model Context Protocol (MCP) servers and seamlessly integrate them with Microsoft Copilot Studio.

MPO

Connects AI assistants and Large Language Models to GitHub, Confluence, and Databricks environments via the Model Context Protocol.