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Nchan MCP Transport

by ConechoAI

πŸš€ Nchan MCP Transport

A high-performance WebSocket/SSE transport layer & gateway for Anthropic's MCP (Model Context Protocol) β€” powered by Nginx, Nchan, and FastAPI.
For building real-time, scalable AI integrations with Claude and other LLM agents.


✨ What is this?

Nchan MCP Transport provides a real-time API gateway for MCP clients (like Claude) to talk to your tools and services over:

  • 🧡 WebSocket or Server-Sent Events (SSE)

  • ⚑️ Streamable HTTP compatible

  • 🧠 Powered by Nginx + Nchan for low-latency pub/sub

  • πŸ›  Integrates with FastAPI for backend logic and OpenAPI tooling

βœ… Ideal for AI developers building Claude plugins, LLM agents, or integrating external APIs into Claude via MCP.


🧩 Key Features

Feature

Description

πŸ”„ Dual Protocol Support

Seamlessly supports WebSocket and SSE with automatic detection

πŸš€ High Performance Pub/Sub

Built on Nginx + Nchan, handles thousands of concurrent connections

πŸ”Œ MCP-Compliant Transport

Fully implements Model Context Protocol (JSON-RPC 2.0)

🧰 OpenAPI Integration

Auto-generate MCP tools from any OpenAPI spec

πŸͺ Tool / Resource System

Use Python decorators to register tools and resources

πŸ“‘ Asynchronous Execution

Background task queue + live progress updates via push notifications

🧱 Dockerized Deployment

Easily spin up with Docker Compose


🧠 Why Use This?

MCP lets AI assistants like Claude talk to external tools. But:

  • Native MCP is HTTP+SSE, which struggles with long tasks, network instability, and high concurrency

  • WebSockets aren’t natively supported by Claude β€” this project bridges the gap

  • Server-side logic in pure Python (like FastMCP) may not scale under load

βœ… Nchan MCP Transport gives you:

  • Web-scale performance (Nginx/Nchan)

  • FastAPI-powered backend for tools

  • Real-time event delivery to Claude clients

  • Plug-and-play OpenAPI to Claude integration


πŸš€ Quickstart

πŸ“¦ 1. Install server SDK

pip install httmcp

πŸ§ͺ 2. Run demo in Docker

git clone https://github.com/yourusername/nchan-mcp-transport.git
cd nchan-mcp-transport
docker-compose up -d

πŸ›  3. Define your tool

@server.tool()
async def search_docs(query: str) -> str:
    return f"Searching for {query}..."

🧬 4. Expose OpenAPI service (optional)

openapi_server = await OpenAPIMCP.from_openapi("https://example.com/openapi.json", publish_server="http://nchan:80")
app.include_router(openapi_server.router)

πŸ–₯️ 5. One-Click GPTs Actions to MCP Deployment

HTTMCP provides a powerful CLI for instant deployment of GPTs Actions to MCP servers:

# Installation
pip install httmcp[cli]

# One-click deployment from GPTs Actions OpenAPI spec
python -m httmcp -f gpt_actions_openapi.json -p http://nchan:80

πŸ“š Use Cases

  • Claude plugin server over WebSocket/SSE

  • Real-time LLM agent backend (LangChain/AutoGen style)

  • Connect Claude to internal APIs (via OpenAPI)

  • High-performance tool/service bridge for MCP


πŸ”’ Requirements

  • Nginx with Nchan module (pre-installed in Docker image)

  • Python 3.9+

  • Docker / Docker Compose


πŸ›  Tech Stack

  • 🧩 Nginx + Nchan – persistent connection management & pub/sub

  • βš™οΈ FastAPI – backend logic & JSON-RPC routing

  • 🐍 HTTMCP SDK – full MCP protocol implementation

  • 🐳 Docker – deployment ready


πŸ“Ž Keywords

mcp transport, nchan websocket, sse for anthropic, mcp jsonrpc gateway, claude plugin backend, streamable http, real-time ai api gateway, fastapi websocket mcp, mcp pubsub, mcp openapi bridge


🀝 Contributing

Pull requests are welcome! File issues if you’d like to help improve:

  • Performance

  • Deployment

  • SDK integrations


πŸ“„ License

MIT License

A
license - permissive license
-
quality - not tested
C
maintenance

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