Local router for accessing MCP servers in AI clients

A local router that makes approved MCP servers accessible from various AI clients like VS Code, Cursor, and Claude.

Local Router for MCP Server Access

This tool provides a local routing solution to bridge the gap between AI clients and approved MCP (Minecraft Protocol) servers. Developers working with AI agents that interact with Minecraft environments can leverage this router to establish seamless communication. By acting as an intermediary, it simplifies the process of connecting diverse AI clients to specific MCP server instances, streamlining development workflows and enabling more complex AI-driven Minecraft interactions.

What it Does

The local router facilitates access to approved MCP servers from a range of AI clients. It translates requests from AI platforms, such as VS Code extensions, Cursor, or direct integrations with models like Claude, into a format understandable by the MCP server. This allows AI agents to send commands, receive game state information, and generally interact with the Minecraft world through the established MCP server connection. The tool is designed to be deployed locally, ensuring data privacy and direct control over the connection.

Key Features

Local Deployment: Runs on your local machine for enhanced security and control.
Broad AI Client Compatibility: Supports popular AI development environments and models.
MCP Server Integration: Connects to approved Minecraft Protocol servers.
Simplified Communication: Abstracts the complexities of direct server-client communication for AI agents.
Open Source: Hosted on GitHub for transparency and community contributions.

Who it's For

This tool is specifically designed for AI developers and researchers building applications that require interaction with Minecraft environments. This includes:

AI Agents for Minecraft: Developers creating agents that play, build, or strategize within Minecraft.
AI-Assisted Game Development: Teams using AI to test or generate content for Minecraft mods.
Educational AI Projects: Educators and students exploring AI capabilities in a familiar gaming context.
Researchers: Individuals studying AI behavior, reinforcement learning, or human-AI interaction within simulated environments.