Nchan MCP Transport
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Nchan MCP Transportexpose my OpenAPI spec as MCP tools"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
π 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.
β¨ 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:
π§΅ WebSocket or Server-Sent Events (SSE)
β‘οΈ Streamable HTTP compatible
π§ Powered by Nginx + Nchan for low-latency pub/sub
π Integrates with FastAPI for backend logic and OpenAPI tooling
β Ideal for AI developers building Claude plugins, LLM agents, or integrating external APIs into Claude via MCP.
π§© Key Features
Feature | Description |
π Dual Protocol Support | Seamlessly supports WebSocket and SSE with automatic detection |
π High Performance Pub/Sub | Built on Nginx + Nchan, handles thousands of concurrent connections |
π MCP-Compliant Transport | Fully implements Model Context Protocol (JSON-RPC 2.0) |
π§° OpenAPI Integration | Auto-generate MCP tools from any OpenAPI spec |
πͺ Tool / Resource System | Use Python decorators to register tools and resources |
π‘ Asynchronous Execution | Background task queue + live progress updates via push notifications |
π§± Dockerized Deployment | Easily spin up with Docker Compose |
π§ 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 arenβt natively supported by Claude β this project bridges the gap
Server-side logic in pure Python (like
FastMCP) may not scale under load
β 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
π Quickstart
π¦ 1. Install server SDK
pip install httmcpπ§ͺ 2. Run demo in Docker
git clone https://github.com/yourusername/nchan-mcp-transport.git
cd nchan-mcp-transport
docker-compose up -dπ 3. Define your tool
@server.tool()
async def search_docs(query: str) -> str:
return f"Searching for {query}..."𧬠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)π₯οΈ 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:80π 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
π Requirements
Nginx with Nchan module (pre-installed in Docker image)
Python 3.9+
Docker / Docker Compose
π Tech Stack
π§© Nginx + Nchan β persistent connection management & pub/sub
βοΈ FastAPI β backend logic & JSON-RPC routing
π HTTMCP SDK β full MCP protocol implementation
π³ Docker β deployment ready
π 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
π€ Contributing
Pull requests are welcome! File issues if youβd like to help improve:
Performance
Deployment
SDK integrations
π License
MIT License
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