get_workflow

Get detailed information about a specific workflow by ID

Server n8n MCP Server sonnd08/n8n-mcp
Category Read
Risk class Low
Parameters 00 required

What get_workflow does on n8n MCP Server

AI agents call get_workflow to retrieve information from n8n MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_workflow needs a policy

Even though get_workflow only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Questions about get_workflow

What does the get_workflow tool do? +

Get detailed information about a specific workflow by ID. It is categorised as a Read tool in the n8n MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_workflow? +

Register the n8n MCP Server MCP server in PolicyLayer and add a rule for get_workflow: 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 n8n MCP Server. Nothing to install.

What risk level is get_workflow? +

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

Can I rate-limit get_workflow? +

Yes. Add a rate_limit block to the get_workflow 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 get_workflow completely? +

Set action: deny in the PolicyLayer policy for get_workflow. 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 get_workflow? +

get_workflow is provided by the n8n MCP Server MCP server (sonnd08/n8n-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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