Generate text completion using vLLM. Good for code completion and text generation.
AI agents invoke vllm_complete to trigger actions in vLLM MCP Server. 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.
This tool executes an inference request against a running vLLM instance, causing external computation and potentially generating arbitrary text or code. It is not a simple read (it triggers active processing) and falls under Execute as it invokes an external operation whose output depends on arguments. Misuse could generate harmful content or consume significant compute resources.
From the tool's definition "Generate text completion using vLLM" and "Good for code completion and text generation" — triggers an external LLM inference operation on the vLLM server
Documented attack patterns abuse exactly the kind of access vllm_complete gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and vLLM MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for vllm_complete:
{
"version": "1",
"default": "deny",
"tools": {
"vllm_complete": {
"limits": [
{
"counter": "vllm_complete_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}vllm_complete 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.
Free to start. No card required.
Generate text completion using vLLM. Good for code completion and text generation. It is categorised as a Execute tool in the vLLM MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the vLLM MCP Server MCP server in PolicyLayer and add a rule for vllm_complete: 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 vLLM MCP Server. Nothing to install.
vllm_complete 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 vllm_complete 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 vllm_complete. 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.
vllm_complete is provided by the vLLM MCP Server MCP server (micytao/vllm-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from vLLM MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
12 vLLM MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.