sast-fixer-mcp 1.0.7

SAST vulnerability fixing service for MCP

sast-fixer-mcp: SAST Fixer MCP Server

A Model Context Protocol (MCP) server that provides dedicated handling of Static Application Security Testing (SAST) reports. It includes capabilities for parsing DOCX reports, tracking vulnerability remediation statuses, and exporting comprehensive fix reports. Seamless integration with Zhanlu AI Programmer enables automated remediation for vulnerabilities identified in SAST processes.

Features

• DOCX Report Processing: Convert SAST reports from DOCX format to structured JSON
• Vulnerability Tracking: Track remediation status of security vulnerabilities
• Report Generation: Generate comprehensive CSV reports of fixed vulnerabilities
• MCP Integration: Full integration with Model Context Protocol servers
• Automated Workflow: Streamlined vulnerability fixing process with AI assistance

Available Tools

• convert_sast_docx_to_json - Converts SAST reports from DOCX format to JSON

  • file_path (string, required): Path to the SAST report DOCX file

• get_pending_vulnerability_json_files - Retrieves all pending vulnerability JSON files (_new.json) from the .scanissuefix directory

• generate_csv_report - Generates a CSV report from all resolved vulnerability JSON files (_finished.json)

Prerequisites

• Python 3.10 or higher is required. Verify your Python version:

python --version  # or python3 --version

• Check if you have the appropriate Python environment installed:

which python  # or which python3

Install Python

If you do not have Python installed or your version is not match the prerequisites, it's recommended to install the most stable version of Python 3.12 using the following direct download links:

• Mac: Download Python 3.12 for macOS

  • For silent installation on macOS:

  sudo installer -pkg /path/to/python-3.12.4-macos11.pkg -target /
  

• Windows: Download Python 3.12 for Windows

  • For silent installation on Windows, run:

  python-3.12.4-amd64.exe /quiet InstallAllUsers=1 PrependPath=1 Include_test=0
  

Upgrade Python

If your current Python version does not meet the required standard, download and install the recommended Python 3.12 version using the above links. Ensure your system's PATH points to the new Python installation.

Installation

Using uv (Recommended)

First, install uv if you haven't already:

pip install uv

When using uv no specific installation is needed. We will use uvx to directly run sast-fixer-mcp.

Run the SAST Fixer MCP server directly:

uvx sast-fixer-mcp

Using pip

Alternatively you can install sast-fixer-mcp via pip:

pip install sast-fixer-mcp

After installation, you can run it as a script using:

python -m sast_fixer_mcp

Configuration

Usage with VS Code Extension zhanlu AI Programmer

For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code.

Using uvx

{
  "mcpServers": {
    "sast-fixer-mcp": {
      "command": "uvx",
      "args": ["sast-fixer-mcp"]
    }
  }
}

Using pip installation

{
  "mcpServers": {
    "sast-fixer-mcp": {
      "command": "python",
      "args": ["-m", "sast_fixer_mcp"]
    }
  }
}

Configuration Notes:

• For specific Python environments, use which python to get the full path. For venv or conda environments, specify the absolute path to the python executable.
• For large SAST reports, increase the timeout setting to avoid timeouts.

Usage Workflow

1. Obtain SAST Report: Get the SAST report Word document for your target codebase
2. Setup Repository: Clone the codebase and switch to the appropriate branch
3. Start Analysis: Use AI assistant with SAST Fixer MCP integration for security vulnerability analysis
4. Process Report: Convert DOCX report to JSON format using the convert_sast_docx_to_json tool
5. Track Progress: Monitor vulnerability remediation using pending and completed file tracking
6. Generate Reports: Create comprehensive CSV reports of fixed vulnerabilities

Important Notes:

• Ensure your working directory is positioned at the project root during the fixing process
• For continued analysis, use natural language commands like: "continue fixing", "generate csv report", "analyze vulnerabilities", etc.
• The tool creates a .scanissuefix directory to track vulnerability status

Debugging

You can use the MCP inspector to debug the server. For uvx installations:

npx @modelcontextprotocol/inspector uvx sast-fixer-mcp

Or if you've installed the package in a specific directory or are developing on it:

cd path/to/servers/src/sast_fixer_mcp
npx @modelcontextprotocol/inspector uv run sast-fixer-mcp

Development

If you are doing local development, there are two ways to test your changes:

1. Run the MCP inspector to test your changes. See Debugging for run instructions.

Local Development Setup

For local development:

cd src/sast_fixer_mcp
uv sync
uv run python -m sast_fixer_mcp --verbose --working-directory /path/to/test/project

Run tests:

uv run pytest

Run linting and type checking:

uv run ruff check
uv run pyright

Build

cd .\mcp-servers\servers\sast_fixer_mcp\
uv build
twine upload .\dist\*

License

MIT License - see LICENSE file for details.