@ConechoAI
基本信息
The 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.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"nchan-mcp-transport": {
"command": "python",
"args": [
"-m",
"httmcp",
"-f",
"gpt_actions_openapi.json",
"-p",
"http://nchan:80"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
It is a high-performance WebSocket/SSE transport layer and gateway for Anthropic’s MCP (Model Context Protocol), powered by Nginx, Nchan, and FastAPI. It is designed for building real-time, scalable AI integrations with Claude and other LLM agents.
Install the server SDK with pip install httmcp, then clone the repository and run docker-compose up -d. Define tools using Python decorators (@server.tool()), optionally expose OpenAPI services with OpenAPIMCP.from_openapi(), or use the CLI for one‑click GPTs Actions to MCP deployment.
Native MCP (HTTP+SSE) struggles with long tasks, network instability, and high concurrency; WebSockets aren’t natively supported by Claude. This project bridges that gap with Nginx/Nchan‑level scalability and real‑time event delivery.
Use the Python decorator `@server.tool()` on an async function. Example: `async def search_docs(query: str) -> str: return f"Searching for {query}..."`.
Yes – use `OpenAPIMCP.from_openapi()` to expose any OpenAPI spec as MCP tools, or use the CLI for one‑click deployment from GPTs Actions OpenAPI specs.
Python 3.9+, Nginx with the Nchan module (pre‑installed in the Docker image), and Docker / Docker Compose.
No, Claude does not natively support WebSocket. This project provides a bridge that allows WebSocket‑based communication with Claude clients.
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