aggregate
AI agents invoke aggregate to trigger actions in Legacy Mongodb. 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.
MongoDB's 'aggregate' runs a pipeline of operations that can include $out or $merge stages, which write results to collections — making it potentially more than a read. Even without those stages, arbitrary aggregation pipelines execute server-side computation.
From the tool's definition Tool name 'aggregate' on a MongoDB MCP server; description is empty and uninformative.
Attacks that exploit this kind of access
aggregate. It is categorised as a Execute tool in the Legacy Mongodb MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Legacy Mongodb MCP server in PolicyLayer and add a rule for aggregate: 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 Legacy Mongodb. Nothing to install.
aggregate 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 aggregate 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 aggregate. 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.
aggregate is provided by the Legacy Mongodb MCP server (webxspark/legacy-mongodb-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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