9 months ago
research-and-dataThe best way to deploy mcp server. A high-performance WebSocket/SSE transport layer & gateway for Anthropic's MCP (Model Context Protocol) — powered by Nginx, Nchan, and FastAPI.
Overview
What is Nchan MCP Transport?
Nchan MCP Transport is a high-performance WebSocket/SSE transport layer and gateway designed for Anthropic's Model Context Protocol (MCP), enabling real-time, scalable AI integrations with Claude and other LLM agents.
How to use Nchan MCP Transport?
To use Nchan MCP Transport, install the server SDK with pip install httmcp, run the demo in Docker, and define your tools using Python decorators.
Key features of Nchan MCP Transport?
- Dual Protocol Support: Supports WebSocket and SSE with automatic detection.
- High Performance Pub/Sub: Built on Nginx + Nchan, handling thousands of concurrent connections.
- MCP-Compliant Transport: Fully implements Model Context Protocol (JSON-RPC 2.0).
- OpenAPI Integration: Auto-generate MCP tools from any OpenAPI spec.
- Tool / Resource System: Register tools and resources using Python decorators.
- Asynchronous Execution: Background task queue with live progress updates.
- Dockerized Deployment: Easily deployable with Docker Compose.
Use cases of Nchan MCP Transport?
- Building Claude plugin servers over WebSocket/SSE.
- Creating real-time LLM agent backends.
- Connecting Claude to internal APIs via OpenAPI.
- Serving as a high-performance tool/service bridge for MCP.
FAQ from Nchan MCP Transport?
- What are the requirements for Nchan MCP Transport?
Requires Nginx with Nchan module, Python 3.9+, and Docker/Docker Compose.
- Is it easy to deploy?
Yes! It can be easily deployed using Docker Compose.