Execute a LogQL query against a Loki datasource and return the matching log entries.
AI agents invoke query_loki_logs 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.
The tool actively executes a query (LogQL) against an external Loki datasource. While it primarily retrieves log data (read-like behavior), it runs arbitrary query logic against an external system, placing it in the Execute category. Misuse could expose sensitive log data or cause performance issues on the Loki instance with expensive queries, warranting medium severity.
From the tool's definition "Execute a LogQL query against a Loki datasource" — the tool runs an arbitrary LogQL query against an external system
Documented attack patterns abuse exactly the kind of access query_loki_logs gives an agent:
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_loki_logs:
{
"version": "1",
"default": "deny",
"tools": {
"query_loki_logs": {
"limits": [
{
"counter": "query_loki_logs_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} 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.
Free to start. No card required.
Execute a LogQL query against a Loki datasource and return the matching log entries. 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.
Register the Grafana FastMCP 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 FastMCP Server. Nothing to install.
query_loki_logs 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 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.
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.
query_loki_logs 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.
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.