# Hugging Face + n8n.io — Pipedream Connect

> Connect a user's Hugging Face and n8n.io accounts and expose tools for both apps directly in your product or your agent.

- Apps: Hugging Face (`hugging_face`) + n8n.io (`n8n_io`)
- This page (HTML): https://pipedream.com/apps/hugging-face/integrations/n8n-io
- One `external_user_id` owns both connected accounts, and each account stays independently revocable.

## One session, both toolsets (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: hugging_face,n8n_io`
- `x-pd-app-slug` takes a comma-separated list, so `hugging_face,n8n_io` is one session on one transport. Both toolsets arrive from a single `listTools()`, and a tool is called exactly as it would be in a single-app session.

```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": "hugging_face,n8n_io",
      },
    },
  },
)

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

const { tools } = await mcp.listTools()

// One list, both toolsets: Hugging Face and n8n.io tools arrive
// together, each keyed by its own app's slug.

// e.g. run Document Question Answering:
const result = await mcp.callTool({
  name: "hugging_face-document-question-answering",
  arguments: {
    modelId: "Model ID",
    imageUrl: "Image URL",
  },
})
```

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

## Both apps from your backend

```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 externalUserId = "{external_user_id}" // any stable ID for this user in your system

const [huggingFaceTools, n8nIoTools] =
  await Promise.all([
    pd.components.list({ app: "hugging_face" }),
    pd.components.list({ app: "n8n_io" }),
  ])

// One external user owns both connected accounts, so either app's tools
// run on their behalf with the same externalUserId.
```

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

## Hugging Face

- API slug: `hugging_face` (use in MCP headers and tool keys)
- Auth: API key (Pipedream-managed)
- Categories: Artificial Intelligence (AI)
- Website: https://huggingface.co/
- App page (HTML): https://pipedream.com/apps/hugging-face
- Tools: 6 actions · 0 triggers

Full tool list, API proxy, and SDK quickstart: https://pipedream.com/apps/hugging-face.md

### Actions (6)

- [Document Question Answering](https://pipedream.com/apps/hugging-face/actions/document-question-answering.md) — `hugging_face-document-question-answering`
- [Image Classification](https://pipedream.com/apps/hugging-face/actions/image-classification.md) — `hugging_face-image-classification`
- [Language Translation](https://pipedream.com/apps/hugging-face/actions/language-translation.md) — `hugging_face-language-translation`
- [Object Detection](https://pipedream.com/apps/hugging-face/actions/object-detection.md) — `hugging_face-object-detection`
- [Text Classification](https://pipedream.com/apps/hugging-face/actions/text-classification.md) — `hugging_face-text-classification`
- [Text Summarization](https://pipedream.com/apps/hugging-face/actions/text-summarization.md) — `hugging_face-text-summarization`

## n8n.io

- API slug: `n8n_io` (use in MCP headers and tool keys)
- Auth: API key (Pipedream-managed)
- Categories: Infrastructure & Cloud
- Website: https://n8n.io/
- App page (HTML): https://pipedream.com/apps/n8n-io
- Tools: 0 actions · 0 triggers

Full tool list, API proxy, and SDK quickstart: https://pipedream.com/apps/n8n-io.md

---

- Hugging Face: https://pipedream.com/apps/hugging-face.md · n8n.io: https://pipedream.com/apps/n8n-io.md
- All apps: https://pipedream.com/apps — index: https://pipedream.com/llms.txt
- Pipedream docs for agents: https://pipedream.com/docs/llms.txt