Create a new flow in Directus. Provide the flow data including name, trigger type, and optional configuration. Example: {name:
AI agents use create_flow to create or update resources in Directus MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Directus MCP Server environment.
This tool creates a new workflow automation flow in Directus. It is a reversible write operation (the flow can be deleted later). However, flows can trigger external operations and automation, so misuse could have moderate impact — hence medium severity. The action itself is a creation/write, not execution of arbitrary code directly.
From the tool's definition Create a new flow in Directus. Provide the flow data including name, trigger type, and optional configuration.
Attacks that exploit this kind of access
Create a new flow in Directus. Provide the flow data including name, trigger type, and optional configuration. Example: {name:. It is categorised as a Write tool in the Directus MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Directus MCP Server MCP server in PolicyLayer and add a rule for create_flow: 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 Directus MCP Server. Nothing to install.
create_flow 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 create_flow 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 create_flow. 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.
create_flow is provided by the Directus MCP Server MCP server (skeyelab/directus-mcp-server). 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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