Grafana ACTION
Query Data Source
Execute a query against any configured data source. Use List Data Sources first to discover available data sources and their UIDs. The query language depends on the data source type:
Prometheus (PromQL): rate(http_requests_total[5m]), sum by (status_code) (rate(http_requests_total[5m]))
Loki (LogQL): {app="myapp"} |= "error", rate({app="myapp"}[5m])
Note: This tool uses the expr query field, which works with Prometheus and Loki. For SQL-based data sources (MySQL, Postgres) or InfluxDB, the query field name differs and may not work with this tool.
Time range defaults to last 1 hour. Use from and to for custom ranges (supports relative: now-24h, now-7d, or epoch milliseconds).
- Action
- Read only
- API key
- SDK
- MCP
IMPLEMENTATION
Call this tool
Connect a user's Grafana account once, then configure and run Query Data Source from your backend or agent.
import { PipedreamClient } from "@pipedream/sdk"
const pd = new PipedreamClient({
projectId: process.env.PIPEDREAM_PROJECT_ID!,
clientId: process.env.PIPEDREAM_CLIENT_ID!,
clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
projectEnvironment: "production",
})
const result = await pd.actions.run({
id: "grafana-query-data-source",
externalUserId: "{external_user_id}", // any stable ID for this user in your system
configuredProps: {
grafana: { authProvisionId: "apn_xxxxxxx" },
datasourceUid: "Data Source UID",
expression: "Query Expression",
},
})
console.log(result)curl -X POST https://api.pipedream.com/v1/connect/{project_id}/actions/run \
-H "Content-Type: application/json" \
-H "X-PD-Environment: production" \
-H "Authorization: Bearer {access_token}" \
-d '{
"external_user_id": "{external_user_id}",
"id": "grafana-query-data-source",
"configured_props": {
"grafana": { "authProvisionId": "apn_xxxxxxx" },
"datasourceUid": "Data Source UID",
"expression": "Query Expression"
}
}'// accessToken: mint a short-lived token with the Connect SDK — see the MCP guide
const transport = new StreamableHTTPClientTransport(
new URL("https://remote.mcp.pipedream.net/v3"),
{
requestInit: {
headers: {
Authorization: `Bearer ${accessToken}`,
"x-pd-project-id": "{project_id}",
"x-pd-environment": "production",
"x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
"x-pd-app-slug": "grafana",
},
},
},
)
const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)
const { tools } = await mcp.listTools()
// listTools() hands your model this tool's input schema, so it can
// fill the arguments itself:
const result = await mcp.callTool({
name: "grafana-query-data-source",
arguments: {
datasourceUid: "Data Source UID",
expression: "Query Expression",
},
})SCHEMA
Inputs
Pipedream supplies the connected account. Your application provides the operation-specific values below. Dynamic inputs are resolved against that user's account.
| Property | Type | Description |
|---|---|---|
datasourceUid Data Source UID | string | The UID of the data source to query. Use List Data Sources to discover available data sources. Required |
expression Query Expression | string | The query expression in the data source's native language (PromQL, LogQL, SQL, Flux, etc.). Required |
from From | string | Start of the time range. Supports relative times like now-1h, now-24h, now-7d, or epoch milliseconds. Default: now-1h. Optional |
to To | string | End of the time range. Supports relative times like now or epoch milliseconds. Default: now. Optional |
intervalMs Interval (ms) | integer | Step interval in milliseconds for time-series queries. Optional |
maxDataPoints Max Data Points | integer | Maximum number of data points to return. Default: 100. Optional |
REFERENCE
Tool details
Behavior hints are published with the component in the Pipedream registry and surface as MCP tool annotations, so an agent can reason about a tool before it calls it.
- Registry key
- grafana-query-data-source
- Version
- 0.0.3
- App
- Grafana
- Authentication
- API key
- Read-only
- Yes
- Destructive
- No
- Open world
- Yes
- Source
- View on GitHub ↗