Get the code to inject and use a Bull queue as a producer in a NestJS service.
AI agents call queue_scaffold_producer to retrieve information from LaunchFrame MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves architectural patterns and generates code snippets for developers to use in their LaunchFrame projects. It does not execute code, modify project state, delete data, or trigger financial transactions. It is purely informational — returning template code that developers must then integrate themselves.
From the tool's definition Tool description states 'Get the code to inject and use a Bull queue as a producer' — the verb 'Get' combined with 'code to...use' indicates retrieval and generation of code scaffolding/templates, not execution of actual queue operations or code.
Attacks that exploit this kind of access
Get the code to inject and use a Bull queue as a producer in a NestJS service. It is categorised as a Read tool in the LaunchFrame MCP MCP Server, which means it retrieves data without modifying state.
Register the LaunchFrame MCP server in PolicyLayer and add a rule for queue_scaffold_producer: 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 LaunchFrame MCP. Nothing to install.
queue_scaffold_producer 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 queue_scaffold_producer 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 queue_scaffold_producer. 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.
queue_scaffold_producer is provided by the LaunchFrame MCP server (launchframe-dev/mcp). 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.
Teams ship this data inside their own products. See what a licence covers →