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Quack MCP Server

@adiboy6

Repository

Basic information

Category

Other

Transports

stdio

Author

adiboy6

About Quack MCP Server

No overview available yet

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

Quack MCP Server config

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

{
  "mcpServers": {
    "quack-mcp-server-adiboy6": {
      "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 (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.

Frequently asked questions

1

What dependencies does Quack MCP Server require?

It requires `mcp[cli]`, `pylint`, `mypy`, `pytest`, and `pytest-asyncio`, installed via `pip install -r requirements.txt`.

2

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.

3

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.

4

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/`.

5

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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