MCP Clients

Build AI agents that integrate tools, connect to MCP servers, and support multiple AI providers through portable JSON manifests.

[Upload] Xiaozhi MCP Client: AI service connection and sensor tool registration for ESP32/K10 on Mind+ 2.0

Unity MCP acts as a bridge, allowing AI assistants (like Claude, Cursor) to interact directly with your Unity Editor via a local MCP (Model Context Protocol) Client. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity.

Enable rapid multi-screen UI prototyping and incremental development using Vercel’s Model Context Protocol with v0-platform-mcp.

This repository provides a client implementation for the Model Context Protocol (MCP) using the OpenAI API, offering real-time communication with MCP servers through a simple interface. This repository provides a

Build multi-microservice systems with AI coding tools using folders, markdown, and no custom tooling.

🛠 Build a lightweight client-server system using Node.js and TypeScript, demonstrating structured communication with a focus on clarity and simplicity.

Build AI applications in Go with a unified SDK for text generation, structured output, tool integration, and agent management.

Enable AI agents to interact and control Unreal Engine using a precise client protocol for seamless communication and expanded capabilities.

A containerized build of the Kubernetes MCP Server. This image packages the MCP server for Kubernetes, enabling AI assistants and MCP clients to connect directly to Kubernetes clusters via a standard MCP endpoint.