What dependencies does Quack MCP Server require?
It requires `mcp[cli]`, `pylint`, `mypy`, `pytest`, and `pytest-asyncio`, installed via `pip install -r requirements.txt`.
Quack MCP Server
@adiboy6
基本信息
关于 Quack MCP Server
暂无概览
Quack MCP Server 配置
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-adiboy6": {
"command": "python3",
"args": [
"quack.py"
]
}
}
}Quack MCP 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 Quack MCP Server?
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 (via pylint) and static type analysis (via mypy), with asynchronous job processing and job management.
How to use Quack MCP Server?
Install dependencies (pip install -r requirements.txt), then start the server with python3 quack.py for stdio transport or python3 quack.py --sse --host=0.0.0.0 --port=8000 for SSE transport. It can also run in a Docker container. Submit code using MCP tools like submit_code or submit_code_for_linting and retrieve results with get_job_results. Integration with Cline is configured via Cline’s MCP settings file.
Key features of Quack MCP Server
- Linting using pylint for style and quality issues.
- Static type analysis using mypy.
- Asynchronous processing for concurrent code analysis.
- Job management with submission, status tracking, and result retrieval.
- Supports both stdio and SSE (HTTP) transports.
- Extensible architecture for adding new processors.
Use cases of Quack MCP Server
- Automatically check Python code style and quality in a CI pipeline.
- Perform static type checking on code submissions before merging.
- Integrate code analysis into an AI assistant (e.g., Cline) for immediate feedback.
- Run ad‑hoc linting or type checks on code snippets via MCP tools.
- Extend with custom processors (e.g., test coverage) for additional analysis.
常见问题
How do I run Quack MCP Server with Docker?
Build the image with `docker build -t quack-mcp-server .` and run with `docker run -p 8000:8000 quack-mcp-server`. The container automatically uses SSE transport on port 8000.
How do I integrate Quack MCP Server with Cline?
Configure the server in Cline’s MCP settings file (`~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json`) — either as a stdio command or an SSE URL, depending on the transport mode.
Can I add my own analysis processors?
Yes, create a new processor class in `quack/processors/`, implement the `process` method, register it in the server, and add tests in `tests/processors/`.
How do I run the test suite?
Run `python -m pytest tests/ --asyncio-mode=auto`. You can also run specific test files or stop on first failure with `-x`.
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