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
Featured
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
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Communication
A server that leverages AI and WhatsApp API to enhance messaging capabilities and automation.
A server integrating LINE Messaging API to connect AI Agents with LINE Official Accounts, enabling message exchange and user profile retrieval.
A server that manages airtime top-ups and transactions using Africa's Talking API for multiple African countries.
A server implementation for MCP with HTTP interface, providing core communication functionalities.
A Python-based client facilitating communication between various components via messaging protocols.
A protocol to enable AI-driven operations and integrations within Chatwork via customizable MCP configurations.
A Python-based MCP that integrates a Gemini client with an MCP server to facilitate communication and data exchange.
Enables DingTalk integration by implementing MCP for communication, data exchange, and automation within DingTalk ecosystem.
A customized MCP client designed for study, based on dolphin-mcp, supporting resource management and communication.
A Python-based MCP server managing remote procedure calls and server-client communication for modular applications.
AI Chatbot
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides MCP servers in Python, Go, and Rust for seamless AI tool integration in VS Code.
Implements MCP server supporting multiple agent frameworks for seamless agent communication and coordination.
Enables Claude Desktop to interact with Hacker News for fetching news, comments, and user data via MCP protocol.
Integrates APIs, AI, and automation to enhance server and client functionalities dynamically.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
An advanced clinical evidence analysis server supporting precision medicine and oncology research with flexible search options.
A platform collecting A2A agents, tools, servers, and clients for effective agent communication and collaboration.
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
An AI agent controlling macOS using OS-level tools, compatible with MCP, facilitating system management via AI.