Developer Tools MCP 서버

macOS Tools

Integrates macOS system tools into LLM clients for real-time performance monitoring, advanced file search, and tag management.

Tavily

Provides AI-powered search capabilities for AI assistants, leveraging the Tavily API and Model Context Protocol.

Unreal

Enables AI agents to interact with and control Unreal Engine environments programmatically through a Machine Control Protocol (MCP).

Nexus Bridge

Enables Claude Desktop to connect to VSCode workspaces via the Model Context Protocol (MCP).

Interactive

Provides an interactive server with a graphical interface for real-time user interaction, enhancing Large Language Model (LLM) coordination.

Search Stock News

Enables real-time stock news search with customizable filters using the Tavily API and Model Context Protocol (MCP).

Manifold Markets

Enables interaction with Manifold Markets prediction markets through a clean MCP interface.

Docs RAG

Enables querying of local documents using retrieval-augmented generation (RAG) with LLMs.

Rcon

Enables AI interaction and programmatic Minecraft building within a Dockerized Minecraft server environment.

ITerm

Enables AI assistants to interact with iTerm2 terminals through the Model Context Protocol.

Postgres

Provides an HTTP interface for interacting with PostgreSQL databases through the Model Control Protocol (MCP).

Educhain Agent Kit

Enables interaction with the EDUCHAIN ecosystem by providing tools to query information, perform swaps on SailFish DEX, and explore arbitrage opportunities.

Playwright SSE

Exposes Playwright functionality as an MCP server accessible via Server-Sent Events (SSE).

Madness Interactive

Provides a basecamp for building AI-powered tools and agents for local development and automation.

Everything Search

Enables file searching using Everything Search Engine through the Model Context Protocol.

Docs Fetch

Recursively fetches and extracts content from web pages for LLM consumption.

Bazel

Exposes Bazel build system functionality to MCP-enabled AI agents.

JsonCanvas

Implements a Model Context Protocol (MCP) server for creating, modifying, and validating JSON Canvas files.

LiteLLM

Handles text completions using OpenAI models via integration with LiteLLM.

Azure DevOps

Enables management of Azure DevOps projects and repository operations through an API.