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find_flow

A read tool on the Kestra Python MCP server.

SERVERKestra Python MCP Server SOURCEkestra-io/mcp-server-python
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

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.

Questions about find_flow

What does the find_flow tool do? +

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.

How do I enforce a policy on find_flow? +

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.

What risk level is find_flow? +

find_flow is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit find_flow? +

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.

How do I block find_flow completely? +

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.

What MCP server provides find_flow? +

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.

More on Kestra Python MCP Server, and thousands of servers like it.

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