AI agents call find_flow to retrieve information from Kestra Python MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Based on the tool name 'find_flow' and its position among sibling tools that explicitly perform mutations and deletions, this tool most likely retrieves or searches for flow definitions without modifying state. Confidence is reduced slightly due to the empty description, but the naming strongly indicates a read operation typical of workflow query interfaces.
From the tool's definition Tool name 'find_flow' suggests a search/query operation to locate workflow definitions. The empty description prevents full certainty, but naming convention and context within a workflow management system indicate a retrieval function.
Documented attack patterns abuse exactly the kind of access find_flow gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Kestra Python MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for find_flow:
{
"version": "1",
"default": "deny",
"tools": {
"find_flow": {}
}
}find_flow is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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find_flow. It is categorised as a Read tool in the Kestra Python MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Kestra Python MCP Server MCP server in PolicyLayer and add a rule for find_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 Kestra Python MCP Server. Nothing to install.
find_flow is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the find_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 find_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.
find_flow is provided by the Kestra Python MCP Server MCP server (kestra-io/mcp-server-python). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Kestra Python MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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39 Kestra Python MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.