Native MCP Client Server

@hackerinheels

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hackerinheels

关于 Native MCP Client Server

A native implementation of the MCP (Model Context Protocol) client-server architecture with HTTP Server-Sent Events (SSE) for real-time communication.

Native MCP Client Server 配置

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该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Native MCP Client Server 工具

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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。

概览

What is Native MCP Client Server?

A native implementation of the Machine Conversation Protocol (MCP) using HTTP Server-Sent Events (SSE) for real-time communication between a WebSocket-based host and multiple tool servers. It provides a host, product server, analytics server, and client for building multi-service tool systems.

How to use Native MCP Client Server?

Set up a Python virtual environment, install dependencies (httpx, fastapi, uvicorn, websockets, python-dotenv, requests, PyYAML), and configure .env files for the host and each tool server. Start the tool servers (e.g., python product-server/server_product.py and python analytics-server/server_analytics.py), then run python mcp-host.py. Send messages like "get products" or "show analytics" to interact.

Key features of Native MCP Client Server

Tool discovery via HTTP endpoints
Real-time tool execution with SSE
WebSocket-based client-host communication
Support for Ollama and Gemini LLM backends
Multiple tool servers (Product and Analytics)
Dynamic tool discovery from all configured servers

Use cases of Native MCP Client Server

Query product information from a dedicated server via the "get products" command
Retrieve analytics data for daily, weekly, or monthly periods using "get analytics"
Combine data from multiple tool servers through a single MCP Host
Extend the system by adding custom tool servers with new /tools and /run endpoints

常见问题

What runtime dependencies are required?

Python 3 and packages: httpx, fastapi, uvicorn, websockets, python-dotenv, requests, PyYAML. Optionally Ollama or Gemini for the LLM backend.

How does the system communicate?

The MCP Host communicates with clients via WebSocket and with tool servers via HTTP using Server-Sent Events (SSE) for real‑time responses.

How can I add a new tool server?

Create a server with `/tools` and `/run` endpoints, add its URL and script path to `config.yaml`, and update the

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