This record as markdown: /tools/easehee-rhino-mcp/gh-run.md
What gh_run does on Rhino
AI agents invoke gh_run to trigger actions in Rhino. 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 gh_run is rated High
This tool triggers execution of arbitrary Grasshopper scripts/definitions that could perform unpredictable operations on 3D models, file systems, or external integrations. While not inherently destructive without explicit delete operations in the definition, the execution of user-defined workflows with unknown side effects warrants Execute classification.
From the tool's definition Tool name 'gh_run' with description 'Run the current solution' indicates execution of Grasshopper definition code.
Attacks that exploit this kind of access
The rule that runs gh_run safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Rhino, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For gh_run, this is the rule to start with:
gh_run 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 Rhino, apply this rule, and every gh_run call is checked against it from then on.
Questions about gh_run
Run the current solution. It is categorised as a Execute tool in the Rhino MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Rhino MCP server in PolicyLayer and add a rule for gh_run: 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 Rhino. Nothing to install.
gh_run 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 gh_run 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 gh_run. 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.
gh_run is provided by the Rhino MCP server (easehee/rhino-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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