# Logfire — Pipedream Connect

> AI Observability Platform for LLMs, Apps & RAG

- API slug: `logfire` (use in MCP headers and tool keys)
- Auth: API key (Pipedream-managed)
- Categories: Artificial Intelligence (AI)
- Website: https://pydantic.dev/logfire
- This page (HTML): https://pipedream.com/apps/logfire
- Tools: 2 actions · 0 triggers

## Connect via MCP (recommended)

- Endpoint: `https://remote.mcp.pipedream.net/v3`
- Headers: `Authorization: Bearer <token>` · `x-pd-project-id` · `x-pd-environment` · `x-pd-external-user-id` · `x-pd-app-slug: logfire`

```ts
import { Client } from "@modelcontextprotocol/sdk/client/index.js"
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js"
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 accessToken = await pd.rawAccessToken

const transport = new StreamableHTTPClientTransport(
  new URL("https://remote.mcp.pipedream.net/v3"),
  {
    requestInit: {
      headers: {
        Authorization: `Bearer ${accessToken}`,
        "x-pd-project-id": process.env.PIPEDREAM_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": "logfire",
      },
    },
  },
)

const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)

const { tools } = await mcp.listTools()

// e.g. run Record Log Entry:
const result = await mcp.callTool({
  name: "logfire-record-log-entry",
  arguments: {
    message: "Message",
    level: "Level",
  },
})
```

Docs: [MCP guide](https://pipedream.com/docs/connect/mcp/developers.md)

## API proxy

For a Logfire endpoint with no pre-built tool, the proxy forwards your request with the connected user's credentials attached.

```bash
# The path segment is the target URL, URL-safe base64 encoded:
# https://api.example.com/v1/me

curl "https://api.pipedream.com/v1/connect/{project_id}/proxy/aHR0cHM6Ly9hcGkuZXhhbXBsZS5jb20vdjEvbWU?external_user_id={external_user_id}&account_id=apn_xxxxxxx" \
  -H "Authorization: Bearer {access_token}" \
  -H "x-pd-environment: production"
```

Docs: [API proxy guide](https://pipedream.com/docs/connect/api-proxy.md)

## SDK

```ts
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: "logfire-record-log-entry",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    logfire: { authProvisionId: "apn_xxxxxxx" },
    message: "Message",
    level: "Level",
  },
})
```

Docs: [Managed auth guide](https://pipedream.com/docs/connect/managed-auth/quickstart.md) · [Tools guide](https://pipedream.com/docs/connect/components.md)

## Actions (2)

### `logfire-record-log-entry` — Record Log Entry (Write)

Records a single log entry or event in Logfire as a zero-duration span, via OTLP ingestion. Use this whenever the user wants to log, record, or note an event, deployment, incident, or error — this is Logfire's equivalent of calling logfire.info()/logfire.error() from the SDK. This creates a single…

Full schema: https://pipedream.com/apps/logfire/actions/record-log-entry.md

### `logfire-run-sql-query` — Run SQL Query (Read-only)

Executes an arbitrary SQL query against Logfire's records (unified logs + traces, one row per span) or metrics tables and returns the results. Use this for any analysis, search, or aggregation over your telemetry — recent activity, error hunting, latency analysis, counts, etc. To discover what…

Full schema: https://pipedream.com/apps/logfire/actions/run-sql-query.md

---

- All apps: https://pipedream.com/apps — index: https://pipedream.com/llms.txt
- Pipedream docs for agents: https://pipedream.com/docs/llms.txt