pip-audit-html 0.1.12

Convert pip-audit JSON reports into readable HTML reports

pip-audit-html

Convert pip-audit JSON output into a standalone, readable HTML report.

Why this package

• Easy CLI for local use and CI pipelines
• No runtime dependencies
• Generates a single HTML file you can archive or share

Installation

Python version support:

• Base CLI and HTML conversion: Python 3.8+
• MCP server and MCP Python API: Python 3.10+

From PyPI (after publish):

pip install pip-audit-html

From source during development:

pip install -e .[dev]

CLI usage

Generate a report from file:

pip-audit-html pip-audit-report.json -o reports/security-report.html

Pipe input from stdin:

pip-audit --format json | pip-audit-html - -o reports/security-report.html

Set custom title and fail build if vulnerabilities exist:

pip-audit-html pip-audit-report.json -o report.html --title "Weekly Dependency Security" --fail-on-vulns

Default footer attribution is included in generated reports. You can override it if needed:

pip-audit-html pip-audit-report.json -o report.html --author-name "Your Name" --author-url "https://www.linkedin.com/in/your-profile/"

Hide specific vulnerabilities (IDs/CVEs) from rendered HTML output:

pip-audit-html pip-audit-report.json -o report.html --ignore-vuln PYSEC-2024-10 --ignore-vuln CVE-2024-12345

You can also pass comma-separated values:

pip-audit-html pip-audit-report.json -o report.html --ignore-vuln "PYSEC-2024-10,CVE-2024-12345"

You can also run it as a module:

python -m pip_audit_html pip-audit-report.json -o report.html

MCP Server (AI Assistant Integration)

pip-audit-html ships an optional MCP (Model Context Protocol) server that exposes audit and report generation as local tools. Everything runs locally over stdio — no cloud, no ports, no API keys.

Python requirement for MCP support:

• MCP depends on the upstream mcp SDK, which requires Python 3.10+
• If you are on Python 3.8 or 3.9, the base pip-audit-html CLI still works, but MCP features are not available

Available MCP tools

Tool	Description
run_audit	Run pip-audit on the current or a target environment, returns JSON
generate_report	Convert pip-audit JSON into a standalone HTML file
get_vulnerabilities	Return a structured list of all vulnerability findings
get_summary	Return counts: total, vulnerable, safe, skipped
audit_and_report	Run audit and generate HTML report in one step

All tools accept an optional ignore_vulns parameter (comma-separated IDs/CVEs).

MCP audit timeout configuration

By default, MCP run_audit and audit_and_report allow up to 600 seconds for pip-audit to finish.

Set environment variable PIP_AUDIT_HTML_TIMEOUT_SECONDS to control this:

• Positive number (for example 1800) = timeout in seconds
• 0, negative number, none, off, or disable = no timeout

Examples:

# 30 minutes
export PIP_AUDIT_HTML_TIMEOUT_SECONDS=1800

# disable timeout entirely
export PIP_AUDIT_HTML_TIMEOUT_SECONDS=none

# 30 minutes
$env:PIP_AUDIT_HTML_TIMEOUT_SECONDS = "1800"

# disable timeout entirely
$env:PIP_AUDIT_HTML_TIMEOUT_SECONDS = "none"

Legacy name PIP_AUDIT_HTML_AUDIT_TIMEOUT_SECONDS is still supported for backward compatibility. After changing timeout values, restart your MCP client/session so the server picks up the updated environment.

---

Option 1 — IDE / AI Assistant Integration (VS Code, Cursor, Claude Desktop)

Connect pip-audit-html as a local MCP server so your AI assistant can audit your Python environment and generate HTML reports on demand — no manual commands needed.

Step 1 — Install with MCP support

This option requires Python 3.10+.

pip install "pip-audit-html[mcp]"

Step 2 — Configure your IDE or AI client

VS Code (GitHub Copilot)

Add to your VS Code settings.json:

{
  "mcp": {
    "servers": {
      "pip-audit-html": {
        "type": "stdio",
        "command": "pip-audit-html-mcp",
        "env": {
          "PIP_AUDIT_HTML_TIMEOUT_SECONDS": "1800"
        }
      }
    }
  }
}

Cursor

Add to your Cursor MCP config (~/.cursor/mcp.json):

{
  "mcpServers": {
    "pip-audit-html": {
      "command": "pip-audit-html-mcp",
      "env": {
        "PIP_AUDIT_HTML_TIMEOUT_SECONDS": "1800"
      }
    }
  }
}

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "pip-audit-html": {
      "command": "pip-audit-html-mcp",
      "env": {
        "PIP_AUDIT_HTML_TIMEOUT_SECONDS": "1800"
      }
    }
  }
}

Claude Desktop config location:

• Windows: %APPDATA%\Claude\claude_desktop_config.json
• macOS / Linux: ~/.config/claude/claude_desktop_config.json

Step 3 — Ask your AI assistant

Once configured, your AI can call the tools directly. Example prompts:

• "Audit my Python environment and show me what's vulnerable."
• "Generate an HTML security report for my project at C:/myproject."
• "Summarize the vulnerabilities in audit.json."
• "Audit my environment, ignore CVE-2024-1234, and save the report to report.html."

---

Option 2 — Command Line (no IDE required)

Use pip-audit-html directly from the command line. No AI assistant or IDE needed — just install and run.

Install

pip install pip-audit-html

This base install supports Python 3.8+.

To also use the MCP Python API (optional):

This optional MCP install requires Python 3.10+.

pip install "pip-audit-html[mcp]"

---

"Audit my Python environment and show me what's vulnerable."

This runs pip-audit against the currently active Python environment, converts the output to HTML, and opens the report. pip-audit must be installed separately.

pip install pip-audit

Windows:

pip-audit --format json -o audit.json
pip-audit-html audit.json -o report.html
start report.html

macOS / Linux:

pip-audit --format json -o audit.json
pip-audit-html audit.json -o report.html
open report.html        # macOS
xdg-open report.html   # Linux

Or pipe directly without saving the JSON file:

pip-audit --format json | pip-audit-html - -o report.html

pip-audit exits with code 1 when vulnerabilities are found — this is expected. The JSON and HTML are still produced correctly.

---

"Generate an HTML security report for my project at C:/myproject."

Audit a specific project directory (instead of the global/active environment):

Windows:

pip-audit --format json --path C:\myproject -o audit.json
pip-audit-html audit.json -o report.html --title "My Project Security Report"
start report.html

macOS / Linux:

pip-audit --format json --path /path/to/myproject -o audit.json
pip-audit-html audit.json -o report.html --title "My Project Security Report"

--path tells pip-audit to audit a specific project or virtualenv directory rather than the currently active Python environment.

---

"Summarize the vulnerabilities in this pip-audit JSON file."

If you already have a pip-audit JSON file and just want a quick text summary:

python -c "
import json
from pip_audit_html.server import get_summary
summary = json.loads(get_summary(open('audit.json').read()))
print('Packages audited :', summary['total_dependencies'])
print('Vulnerable        :', summary['total_vulnerabilities'])
print('Safe              :', summary['total_safe'])
print('Skipped           :', summary['total_skipped'])
print('Clean             :', summary['is_clean'])
"

Example output:

Packages audited : 42
Vulnerable        : 3
Safe              : 38
Skipped           : 1
Clean             : False

To see the full list of individual vulnerability findings:

python -c "
import json
from pip_audit_html.server import get_vulnerabilities
findings = json.loads(get_vulnerabilities(open('audit.json').read()))
for f in findings:
    print(f['package'], f['version'], '->', f['vuln_id'], f['aliases'])
"

---

"Audit my environment and ignore CVE-2024-1234, then save the report to report.html."

Some vulnerabilities may not apply to your usage, or you may have accepted the risk. Use --ignore-vuln to exclude them from the report:

pip-audit --format json | pip-audit-html - -o report.html --ignore-vuln CVE-2024-1234

Ignore multiple IDs in one command (repeat the flag or use comma-separated values):

pip-audit --format json | pip-audit-html - -o report.html \
  --ignore-vuln CVE-2024-1234 \
  --ignore-vuln PYSEC-2024-99

pip-audit --format json | pip-audit-html - -o report.html \
  --ignore-vuln "CVE-2024-1234,PYSEC-2024-99"

Ignored IDs are matched against both the primary vulnerability ID and any aliases (e.g. a PYSEC ID that aliases a CVE). Matching is case-insensitive.

Also make CI exit 0 when all remaining (non-ignored) vulns are suppressed:

pip-audit --format json | pip-audit-html - -o report.html \
  --ignore-vuln CVE-2024-1234 \
  --fail-on-vulns

--fail-on-vulns exits with code 1 only if vulnerabilities remain after the ignore list is applied. If everything is ignored, the exit code is 0.

---

One-step audit + report (Python API)

If you prefer Python scripting over shell pipes:

python -c "
import json
from pip_audit_html.server import audit_and_report
result = json.loads(audit_and_report(output_path='report.html'))
print('Report saved to :', result['html_path'])
print('Vulnerable       :', result['total_vulnerabilities'])
print('Clean            :', result['is_clean'])
"

For a specific project path:

python -c "
import json
from pip_audit_html.server import audit_and_report
result = json.loads(audit_and_report(target_path='C:/myproject', output_path='report.html'))
print(json.dumps(result, indent=2))
"

Local development

Use existing helper scripts:

1. Create environment (001_env.bat or 001_env.sh)
2. Activate environment (002_activate.bat or 002_activate.sh)
3. Install package/dev deps (003_setup.bat or 003_setup.sh)
4. Run CLI help (004_run.bat or 004_run.sh)
5. Run tests (005_run_test.bat or 005_run_test.sh)

Publish to PyPI

1. Update version in pyproject.toml.
2. Build distributions:

python -m pip install --upgrade build twine
python -m build

3. Validate artifacts:

python -m twine check dist/*

4. Upload:

python -m twine upload dist/*