find_flow
A read tool on the Kestra Python MCP server.
This record as markdown: /tools/kestra-io-mcp-server-python/find-flow.md
What find_flow does on Kestra Python MCP Server
AI agents call find_flow to retrieve information from Kestra Python MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why find_flow is rated Low
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.
Attacks that exploit this kind of access
The rule that runs find_flow safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Kestra Python MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For find_flow, this is the rule to start with:
find_flow is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Kestra Python MCP Server, apply this rule, and every find_flow call is checked against it from then on.
Questions about find_flow
find_flow is a read tool on the Kestra Python MCP Server MCP server. 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.
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