Runs Gitleaks to detect hardcoded secrets in git repositories. Returns structured finding data with redacted secrets.
AI agents invoke gitleaks to trigger actions in Make. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool executes the Gitleaks binary/process to scan git repositories for hardcoded secrets. It runs an external program, making it Execute category. Severity is medium: it only reads/scans repository content and redacts secrets in output, so it has limited destructive potential, but running arbitrary scans on repositories could expose sensitive metadata or be misused to enumerate secrets across repos.
From the tool's definition 'Runs Gitleaks' — explicitly executes an external tool against git repositories
Documented attack patterns abuse exactly the kind of access gitleaks gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Make, and nothing reaches the server without passing your rules. This is the rule we recommend for gitleaks:
{
"version": "1",
"default": "deny",
"tools": {
"gitleaks": {
"limits": [
{
"counter": "gitleaks_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}gitleaks stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Runs Gitleaks to detect hardcoded secrets in git repositories. Returns structured finding data with redacted secrets. It is categorised as a Execute tool in the Make MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Make MCP server in PolicyLayer and add a rule for gitleaks: 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 Make. Nothing to install.
gitleaks is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the gitleaks 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 gitleaks. 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.
gitleaks is provided by the Make MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Make, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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