What runtime dependencies does MCPClient Python Application require?
Python 3.7 or higher, and packages: asyncio (included), requests, mcp, and dotenv.
@spirita1204
基本信息
implementation for interacting between an MCP server and an Ollama model
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-client-spirita1204": {
"command": "python",
"args": [
"client.py",
"<server_script_path>"
]
}
}
}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 Python client application designed to interact with an MCP (Model Context Protocol) server. It provides asynchronous communication, dynamic tool management, and a command-line chat interface for developers building MCP-based tools.
Clone or download the script, install dependencies (pip install -r requirements.txt), create a .env file with environment variables (e.g., BASE_URL and MODEL), then run python client.py <server_script_path> where the server script can be a .py or .js file.
.env filePython 3.7 or higher, and packages: asyncio (included), requests, mcp, and dotenv.
It connects via standard input/output channels using a provided server script (Python or JavaScript).
It loads environment variables from a `.env` file in the root directory, with examples like `BASE_URL` and `MODEL`.
Yes, the client supports both Python (`.py`) and JavaScript (`.js`) server scripts.
The client communicates with the server through standard input/output (stdio) channels.
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