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Quack MCP Server

@nowucca

Repository

Basic information

Category

Other

Transports

stdio

Author

nowucca

About Quack MCP Server

No overview available yet

#quack-mcp-server#continuous-integration#python-code-analysis

Quack MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "quack-mcp-server": {
      "command": "python3",
      "args": [
        "quack.py"
      ]
    }
  }
}

Quack MCP Server tools

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.

Overview

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 (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.

How to use Quack MCP Server?

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.

Key features of Quack MCP Server

  • Linting Python code with pylint for style and quality.
  • Static type analysis with mypy to catch type errors.
  • Asynchronous job processing for concurrent analyses.
  • Job management tools for submission and result retrieval.
  • Support for both stdio and SSE transport modes.
  • Docker container support for easy deployment.
  • Integration with Cline for code analysis via natural language prompts.

Use cases of Quack MCP Server

  • Automate linting checks on Python code submissions in a CI pipeline.
  • Perform static type checking on Python functions to catch type mismatches.
  • Integrate code analysis into an MCP-enabled assistant (e.g., Cline) for real‑time feedback.
  • Test and validate custom analysis processors by adding them to the processor framework.

Frequently asked questions

1

What dependencies does Quack MCP Server require?

The required dependencies are: `mcp[cli]`, `pylint`, `mypy`, `pytest`, and `pytest-asyncio`.

2

What transport protocols does Quack MCP Server support?

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.

3

How do I run Quack MCP Server in a Docker container?

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.

4

Can I integrate Quack MCP Server with Cline?

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.

5

How do I add a new processor to Quack MCP Server?

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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