pip-audit
Runs pip-audit and returns a structured vulnerability report.
This record as markdown: /tools/io-github-dave-london-pare-python/pip-audit.md
What pip-audit does on Python
AI agents call pip-audit to retrieve information from Python without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
fix | boolean | — | Auto-remediate vulnerabilities (--fix) |
path | string | — | Project root path |
local | boolean | — | Only audit packages in the local virtualenv (-l, --local) |
dryRun | boolean | — | Preview fix changes without applying (--dry-run) |
noDeps | boolean | — | Skip auditing dependencies (--no-deps) |
strict | boolean | — | Fail on skipped dependencies (-S, --strict) |
compact | boolean | — | Prefer compact output |
indexUrl | string | — | Custom package index URL for corporate/private registry support |
ignoreVuln | array | — | Vulnerability IDs to suppress (e.g. PYSEC-2023-001) |
requirements | string | — | Path to requirements file |
skipEditable | boolean | — | Skip auditing editable packages (--skip-editable) |
vulnerabilityService | string | — | Vulnerability service to query (default: pypi) |
Parameters from the server's own tool schema.
Why pip-audit is rated Low
pip-audit is a passive vulnerability scanner that analyzes dependencies and produces a report. It retrieves and queries vulnerability data but does not install, uninstall, upgrade, downgrade, or otherwise modify packages; it performs no code execution or destructive actions. The output is informational only, making this a Read operation with low severity.
From the tool's definition pip-audit "runs pip-audit and returns a structured vulnerability report" — this is a read-only security scanning tool that queries installed packages for known vulnerabilities without modifying, executing code, or making changes to the system.
Risk signalsAccepts file system path (path) · High parameter count (12 properties)
Attacks that exploit this kind of access
The rule that runs pip-audit safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Python, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For pip-audit, this is the rule to start with:
pip-audit is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Python, apply this rule, and every pip-audit call is checked against it from then on.
Questions about pip-audit
Runs pip-audit and returns a structured vulnerability report. It is categorised as a Read tool in the Python MCP Server, which means it retrieves data without modifying state.
pip-audit accepts 12 parameters: fix, path, local, dryRun, noDeps, strict, compact, indexUrl, ignoreVuln, requirements, skipEditable, vulnerabilityService. The full parameter table on this page comes from the server's own tool schema.
Register the Python MCP server in PolicyLayer and add a rule for pip-audit: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Python. Nothing to install.
pip-audit is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the pip-audit rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for pip-audit. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
pip-audit is provided by the Python MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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