Skip to main content

SAST vulnerability fixing service for MCP

Project description

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:

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.

Additional Setup Notes

If Python was newly installed while the Terminal (either inside an IDE or a standalone system terminal) was already open, the session may not automatically detect updated environment variables (e.g., PATH). Use the following commands to refresh PATH in the current session without restarting your IDE or terminal:

  • Windows:

    $env:Path = [System.Environment]::GetEnvironmentVariable("Path","Machine") + ";" + [System.Environment]::GetEnvironmentVariable("Path","User")
    python -V
    
  • macOS:

    source ~/.zshrc   # or ~/.bashrc depending on your shell
    python -V
    

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 check its usage with:

python -m sast_fixer_mcp --help

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. Incorrect python executable specifying in "command" might cause issues such as "No module named sast_fixer_mcp" or "MCP error -32000: Connection closed". For example:

    which python
    /opt/miniconda3/envs/myenv/bin/python
    
  • If Python was installed during MCP setup and environment variables were updated,
    errors like “Error executing MCP tool: Not connected” or
    “MCP error -32000: Connection closed” may appear. Restarting only the MCP server will not help, you must restart the IDE so it reloads the updated PATH and Python environment.

  • 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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sast_fixer_mcp-1.0.11.tar.gz (1.1 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sast_fixer_mcp-1.0.11-py3-none-any.whl (20.5 kB view details)

Uploaded Python 3

File details

Details for the file sast_fixer_mcp-1.0.11.tar.gz.

File metadata

  • Download URL: sast_fixer_mcp-1.0.11.tar.gz
  • Upload date:
  • Size: 1.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for sast_fixer_mcp-1.0.11.tar.gz
Algorithm Hash digest
SHA256 1aee44d436138e5fcda1a7ffb04769a0ad4168e3e7ba3a90499434255ce0e685
MD5 e3a613fe5a7afa573a68bc275743ae9e
BLAKE2b-256 a87076fbf5e0365e0957d2596b4e5858e53f23025a60d6aecaae1e7f49218b31

See more details on using hashes here.

File details

Details for the file sast_fixer_mcp-1.0.11-py3-none-any.whl.

File metadata

File hashes

Hashes for sast_fixer_mcp-1.0.11-py3-none-any.whl
Algorithm Hash digest
SHA256 6dc7224daa87ce021274aa4ded3a4b6e5e3e83a8c730afd699faabfee231dd3b
MD5 a7eb4090ba9416732fafd3c7d70e5d34
BLAKE2b-256 aeb0652ea2feb3aae1c7fa0eaa3f4f5c6a9ebd7642e219cdf6fe0d5a68235ba9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page