Nchan MCP Transport
Nchan MCP Transport is a scalable API gateway that facilitates real-time communication between MCP clients like Claude and external services via WebSocket, SSE, and streamable HTTP. Powered by Nginx, Nchan, and FastAPI, it ensures low-latency pub/sub, easy deployment with Docker, and full MCP protocol support. It is ideal for building AI plugins, real-time LLM backends, and high-performance tool integrations.
Added on:
Created by:
Apr 07 2025
Nchan MCP Transport is a scalable API gateway that facilitates real-time communication between MCP clients like Claude and external services via WebSocket, SSE, and streamable HTTP. Powered by Nginx, Nchan, and FastAPI, it ensures low-latency pub/sub, easy deployment with Docker, and full MCP protocol support. It is ideal for building AI plugins, real-time LLM backends, and high-performance tool integrations.
Added on:
Created by:
Apr 07 2025
ConEchoAI
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What is Nchan MCP Transport?
Nchan MCP Transport is designed to enable fast and reliable real-time communication for AI applications using Anthropic's MCP. It supports WebSocket, SSE, and streamable HTTP, providing a high-performance pub/sub system built on Nginx and Nchan for handling thousands of concurrent connections. The system seamlessly integrates with FastAPI and OpenAPI, allowing developers to expose tools and services as MCP-compliant endpoints. Its features include asynchronous execution, background task management, and Docker deployment, making it suitable for building scalable AI plugin servers, real-time LLM integrations, and connecting external APIs to Claude or other MCP clients.
Who will use Nchan MCP Transport?
- AI developers building Claude plugins
- Researchers working on real-time AI integrations
- Backend developers creating high-performance API gateways for MCP
- Organizations deploying scalable AI tool services
How to use the Nchan MCP Transport?
- Step1: Install the server SDK using pip
- Step2: Clone the repository and run the demo with Docker Compose
- Step3: Define your tools using Python decorators and expose them via FastAPI
- Step4: Optionally, generate OpenAPI documentation for your tools
- Step5: Deploy and connect MCP clients like Claude to your server
Nchan MCP Transport's Core Features & Benefits
The Core Features
- Supports WebSocket, SSE, and streamable HTTP protocols
- Built-in MCP JSON-RPC 2.0 protocol compliance
- High-performance pub/sub system with Nginx and Nchan
- Auto-generates MCP tools from OpenAPI specifications
- Supports asynchronous task execution and live updates
- Dockerized deployment for easy setup
The Benefits
- Enables scalable real-time communication for AI applications
- Maintains low latency and high concurrency handling
- Simplifies integration of external APIs and tools
- Provides flexible deployment options
Nchan MCP Transport's Main Use Cases & Applications
- Hosting Claude plugins over WebSocket/SSE
- Developing real-time AI agent backends with LangChain/AutoGen
- Connecting internal APIs to MCP-compliant clients
- Creating high-performance tool bridges for MCP-based AI systems
FAQs of Nchan MCP Transport
Developer
- ConechoAI
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