ai_generate
One-shot text generation with local Llama. No conversation context. Good for: summarization, code generation, analysis, content creation. Example: ai_generate({ prompt:
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What ai_generate does on 0nmcp
AI agents invoke ai_generate to trigger actions in 0nmcp. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why ai_generate is rated High
This tool executes a local Llama model to generate text, code, or other content. While primarily producing output, it runs an external process/model and can generate arbitrary code or content, placing it in Execute. Code generation output could have downstream effects if used, but the tool itself doesn't deploy or run generated code, keeping severity at medium.
From the tool's definition One-shot text generation with local Llama... code generation, analysis, content creation
Attacks that exploit this kind of access
The rule that runs ai_generate safely
PolicyLayer is an MCP gateway: it sits between your AI agents and 0nmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ai_generate, this is the rule to start with:
ai_generate stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect 0nmcp, apply this rule, and every ai_generate call is checked against it from then on.
Questions about ai_generate
One-shot text generation with local Llama. No conversation context. Good for: summarization, code generation, analysis, content creation. Example: ai_generate({ prompt:. It is categorised as a Execute tool in the 0nmcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the 0n MCP server in PolicyLayer and add a rule for ai_generate: 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 0nmcp. Nothing to install.
ai_generate is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the ai_generate 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 ai_generate. 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.
ai_generate is provided by the 0n MCP server (0nmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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