What dependencies does Quack MCP Server require?
The required dependencies are: `mcp[cli]`, `pylint`, `mypy`, `pytest`, and `pytest-asyncio`.
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基本信息
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使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"quack-mcp-server": {
"command": "python3",
"args": [
"quack.py"
]
}
}
}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。
Quack MCP Server is a continuous integration server built as an MCP server that automates code analysis and testing for Python code. It provides tools for linting (using pylint) and static type analysis (using mypy). It is intended for developers who want to integrate automated Python code quality checks into their workflow via the Model Context Protocol.
Install dependencies from requirements.txt, then start the server with python3 quack.py (default stdio transport) or with --sse flags for HTTP communication. Alternatively, run via Docker with docker run -p 8000:8000 quack-mcp-server. The server exposes MCP tools such as submit_code, submit_code_for_linting, submit_code_for_static_analysis, get_job_results, and list_jobs. Tests can be run with pytest.
The required dependencies are: `mcp[cli]`, `pylint`, `mypy`, `pytest`, and `pytest-asyncio`.
Quack MCP Server supports stdio (default) and SSE (Server‑Sent Events) over HTTP. When running in a Docker container, SSE mode is used automatically on port 8000.
Build the image with `docker build -t quack-mcp-server .` and run with `docker run -p 8000:8000 quack-mcp-server`. The server starts in SSE mode on port 8000.
Yes. Configure Cline’s MCP settings file (`cline_mcp_settings.json`) with either a local stdio command or an SSE URL to the running Quack server. Then Cline can invoke the server’s analysis tools.
Create a new processor class in `quack/processors/`, implement the `process` method, register it in the server, and add tests in `tests/processors/`. Example code is provided in `tests/examples/`.

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