lerna
Runs Lerna monorepo commands (list, run, changed, version) and returns structured package information.
This record as markdown: /tools/io-github-dave-london-build/lerna.md
What lerna does on Build
AI agents invoke lerna to trigger actions in Build. 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.
Why lerna is rated High
The 'run' subcommand in Lerna executes arbitrary package scripts, which can trigger build processes, test suites, and other code execution whose effects depend on what scripts are configured in the monorepo. This qualifies as Execute rather than Write because it triggers external operations (script execution) that can have unpredictable side effects.
From the tool's definition Tool 'runs Lerna monorepo commands' including 'run' which executes arbitrary scripts across multiple packages in a monorepo. While 'list' and 'changed' are read-only, the 'run' command allows execution of lifecycle scripts defined in package.json files.
Attacks that exploit this kind of access
The rule that runs lerna safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Build, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For lerna, this is the rule to start with:
lerna 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Build, apply this rule, and every lerna call is checked against it from then on.
Questions about lerna
Runs Lerna monorepo commands (list, run, changed, version) and returns structured package information. It is categorised as a Execute tool in the Build MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Build MCP server in PolicyLayer and add a rule for lerna: 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 Build. Nothing to install.
lerna 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 lerna 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 lerna. 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.
lerna is provided by the Build 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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