AI agents use connect_grasshopper_components to create or update resources in GH_mcp_server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your GH_mcp_server environment.
The tool name suggests it connects (wires) Grasshopper components together, which is a Write operation as it modifies the Grasshopper definition graph. However, the description is empty, lowering confidence. It could potentially trigger execution of the graph depending on implementation, but the most likely interpretation is a reversible graph modification (Write).
From the tool's definition Tool name 'connect_grasshopper_components' and empty description. Based on name alone, it likely creates connections/wires between Grasshopper components.
Documented attack patterns abuse exactly the kind of access connect_grasshopper_components gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and GH_mcp_server, and nothing reaches the server without passing your rules. This is the rule we recommend for connect_grasshopper_components:
{
"version": "1",
"default": "deny",
"tools": {
"connect_grasshopper_components": {
"limits": [
{
"counter": "connect_grasshopper_components_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}connect_grasshopper_components stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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connect_grasshopper_components. It is categorised as a Write tool in the GH_mcp_server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the GH_mcp_server MCP server in PolicyLayer and add a rule for connect_grasshopper_components: 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 GH_mcp_server. Nothing to install.
connect_grasshopper_components is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the connect_grasshopper_components 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 connect_grasshopper_components. 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.
connect_grasshopper_components is provided by the GH_mcp_server MCP server (veoery/gh_mcp_server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 12 GH_mcp_server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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12 GH_mcp_server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.