High Risk →

query_prometheus

Execute PromQL queries against a Prometheus datasource.

How to control query_prometheus ↓

What query_prometheus does on Grafana FastMCP Server

AI agents invoke query_prometheus to trigger actions in Grafana FastMCP 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.

High Risk

Why query_prometheus needs a policy

The tool executes queries (PromQL) against an external datasource. While read-only in typical usage, 'execute' queries against external systems fall under Execute category. Misuse could expose sensitive metrics or overload the Prometheus instance with expensive queries, but it cannot modify data, making severity medium rather than high.

From the tool's definition "Execute PromQL queries against a Prometheus datasource"

Documented attack patterns abuse exactly the kind of access query_prometheus gives an agent:

How to control query_prometheus

PolicyLayer is an MCP gateway — it sits between your AI agents and Grafana FastMCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for query_prometheus:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "query_prometheus": {
      "limits": [
        {
          "counter": "query_prometheus_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

query_prometheus 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.

  1. Create a free account and register Grafana FastMCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about query_prometheus

What does the query_prometheus tool do? +

Execute PromQL queries against a Prometheus datasource. It is categorised as a Execute tool in the Grafana FastMCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on query_prometheus? +

Register the Grafana FastMCP Server MCP server in PolicyLayer and add a rule for query_prometheus: 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 Grafana FastMCP Server. Nothing to install.

What risk level is query_prometheus? +

query_prometheus is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit query_prometheus? +

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

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

query_prometheus is provided by the Grafana FastMCP Server MCP server (sandersouza/grafanafastmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Grafana FastMCP Server tool call.

Start from Grafana FastMCP 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.

45 Grafana FastMCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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