AI agents invoke run_clustering to trigger actions in Millimap. 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.
Running clustering is a computational operation that processes and transforms data according to algorithm parameters. While not destructive (results are reversible), this is definitively Execute category as it triggers external analysis operations whose effects depend on arguments (clustering method, parameters, dataset selection).
From the tool's definition Tool name 'run_clustering' combined with server description stating it 'enables Claude Desktop to read and drive analyses' on MilliMap session.
Attacks that exploit this kind of access
run_clustering. It is categorised as a Execute tool in the Millimap MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Millimap MCP server in PolicyLayer and add a rule for run_clustering: 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 Millimap. Nothing to install.
run_clustering 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 run_clustering 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 run_clustering. 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.
run_clustering is provided by the Millimap MCP server (milliomics/millimap-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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