MCP Clients

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

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

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

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.

Provide a RESTful API gateway that manages authentication and enforces rate limiting for secure and controlled access to services.

Testing the functionalities of the MCP server of Github with Claude. Everything shown in here (besides this description) is made via natural text in Claude desktop!

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.

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

Control macOS Mail.app with AI to triage inboxes, draft replies, search, move, delete, and label email using natural language

Manage concurrent LLM requests with priority queues, multi-model routing, fault tolerance, and semantic caching for efficient AI workflows.

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

Unify MCP servers behind one endpoint with lazy loading, Python plugins, and role-based filtering for lower overhead and simpler config