Generate an HTML visualization of a Flow project.
AI agents use crewai_flow_plot to create or update resources in CrewAI MCP Orchestrator — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your CrewAI MCP Orchestrator environment.
An AI agent can call crewai_flow_plot faster than any human can review — one bad instruction and it creates or modifies resources in CrewAI MCP Orchestrator by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
Generate an HTML visualization of a Flow project. It is categorised as a Write tool in the CrewAI MCP Orchestrator MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the CrewAI MCP Orchestrator MCP server in PolicyLayer and add a rule for crewai_flow_plot: 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 CrewAI MCP Orchestrator. Nothing to install.
crewai_flow_plot 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 crewai_flow_plot 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 crewai_flow_plot. 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.
crewai_flow_plot is provided by the CrewAI MCP Orchestrator MCP server (ssolis-ti/crewai-mcp-hq). 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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