MCP Clients

Fun for Kids AI agent toolkit for Claude Code, Codex, and MCP clients

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

Enable AI assistants to send and receive WhatsApp messages via a self-hosted Model Context Protocol integration using Baileys and FastMCP.

AI agent for IoT devices management through standardized MCP interfaces.

MCP server for technical analysis with Alpaca market data. Computes Bollinger Bands, Moving Averages, Stochastics, candlestick patterns, and evaluates 11 trading strategies - all server-side, no Python execution needed on the client.

Provide a RESTful API gateway that manages authentication and controls request rates for secure and efficient service access.

🕒 Explore how to build a .NET MCP server and client to interact with server-side tools and leverage Ollama for dynamic response generation.

Turn AI browser actions into polished demo GIFs and MP4s with click, keystroke, zoom, and pan capture

Organize many standalone repos on one machine with a local-first workspace structure, shared caches, and filesystem-based context

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

鵲 - Bridge Claude Desktop to Streamable HTTP MCP servers via mcp-proxy

Curate and access MCP servers and tools tailored for Korea’s legal, commerce, public data, finance, and real estate sectors.

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

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.

Sync agent settings across MCP and Node.js tools with a simple TypeScript package