query_loki_logs

Executes a LogQL query against a Loki datasource to retrieve log entries or metric values

SERVERGrafana MCP Server SOURCE0xteamhq/mcp-grafana

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade C, identity unverified Pull the record →

This record as markdown: /tools/0xteamhq-mcp-grafana/query-loki-logs.md

WHAT IT DOES

What query_loki_logs does on Grafana MCP Server

AI agents invoke query_loki_logs to trigger actions in Grafana 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.

RISK

Why query_loki_logs is rated High

The tool explicitly 'executes' a query (LogQL) against an external datasource. While the primary outcome is reading log data, the action involves running a query against an external system, placing it in the Execute category. The blast radius is medium — a misused query could expose sensitive log data or overload the Loki datasource, but it cannot modify or delete data.

From the tool's definition 'Executes a LogQL query against a Loki datasource to retrieve log entries or metric values'

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs query_loki_logs safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Grafana MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For query_loki_logs, this is the rule to start with:

query_loki_logs Rate-limited

query_loki_logs 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "query_loki_logs": {
      "limits": [
        {
          "counter": "query_loki_logs_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Grafana MCP Server, apply this rule, and every query_loki_logs call is checked against it from then on.

FAQ

Questions about query_loki_logs

What does the query_loki_logs tool do? +

Executes a LogQL query against a Loki datasource to retrieve log entries or metric values. It is categorised as a Execute tool in the Grafana MCP 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_loki_logs? +

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

What risk level is query_loki_logs? +

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

Can I rate-limit query_loki_logs? +

Yes. Add a rate_limit block to the query_loki_logs 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_loki_logs completely? +

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

query_loki_logs is provided by the Grafana MCP Server MCP server (0xteamhq/mcp-grafana). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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