What transport protocol does the host use?
The host uses Server-Sent Events (SSE) for communication with MCP servers. STDIO server support is planned but not yet implemented.
@hackerinheels
Basic information
This repository contains a python implementation of an MCP Host which is capable of running several MCP Servers with SSE protocol
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"multipleMCPServerWithPythonHost": {
"command": "uv",
"args": [
"venv",
"--python",
"3.11"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Multiple MCP SSE Servers with a Python Host is a Server-Sent Events (SSE) Model Context Protocol (MCP) client implementation that uses Google’s Gemini API. It reads a config.json file to launch and maintain connections with multiple MCP servers, and handles lifecycle management and cleanup. It is intended for developers who want to run several MCP servers concurrently and interact with them through a single Python host.
Clone the repository, create a .env file with GEMINI_API_KEY and MODEL_NAME, set up Google Calendar API credentials, update config.json with the MCP server commands, then run uv run host.py from a Python 3.11+ virtual environment. Interact by typing queries in the client prompt.
The host uses Server-Sent Events (SSE) for communication with MCP servers. STDIO server support is planned but not yet implemented.
The example configuration uses Google Gemini 2.0 Flash (`gemini-2.0-flash`). The API key must be set in the `.env` file under `GEMINI_API_KEY`.
Python 3.11+, the UV package manager, a Gemini API key, and Google Calendar API credentials (if using the calendar server). For the browser server, Google Chrome must be installed and the `CHROME_PATH` environment variable set.
Currently only Gemini models are supported. The README lists multiple model support as a planned future feature.
User queries and server responses are handled in memory; no persistent storage is described. Limitations include no STDIO server support, no multiple model support, and no tool chaining yet (all noted as “Todo”). Authentication relies on API keys in environment variables.
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