# List Documents — AlgoDocs

> Lists documents for a given extractor by reading extraction records (GET /v1/extracted_data/{extractorId}) and returning their documentId and fileName, deduplicated by documentId. AlgoDocs has no dedicated documents endpoint, so this…

- Key: `algodocs-list-documents`
- Type: Action (Read-only)
- Version: 0.0.2
- App: AlgoDocs (`algodocs`) — https://pipedream.com/apps/algodocs.md
- This page (HTML): https://pipedream.com/apps/algodocs/actions/list-documents
- Hints: read-only · open-world
- Source: https://github.com/PipedreamHQ/pipedream/blob/master/components/algodocs/actions/list-documents/list-documents.mjs

## Description

Lists documents for a given extractor by reading extraction records (GET /v1/extracted_data/{extractorId}) and returning their `documentId` and `fileName`, deduplicated by `documentId`. AlgoDocs has no dedicated documents endpoint, so this action derives the document list from extracted data. Use it to discover a valid `documentId` before configuring **New Extracted Data**. Run **List Extractors** to find a valid extractor ID first. [See the documentation](https://api.algodocs.com/).

## Props

| Prop | Type | Required | Description |
|---|---|---|---|
| `extractorId` | `string` | Yes | The ID of the extractor. Run the List Extractors action to get a list of valid extractor IDs. Example: 6d86215bf9cb4fc6ac1f6967. |
| `folderId` | `string` | No | The ID of the folder. Run the List Folders action to get a list of valid folder IDs. Example: 1a5e2f9c624b. |
| `limit` | `integer` | No | Maximum number of records to return (min 1, max 1000). Defaults to 100 if omitted. |

## Run it

**MCP**

```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": "algodocs",
      },
    },
  },
)

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: "algodocs-list-documents",
  arguments: {
    extractorId: "Extractor ID",
    folderId: "Folder ID",
  },
})
```

**TypeScript**

```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: "algodocs-list-documents",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    algodocs: { authProvisionId: "apn_xxxxxxx" },
    extractorId: "Extractor ID",
    folderId: "Folder ID",
  },
})

console.log(result)
```

**cURL**

```bash
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": "algodocs-list-documents",
    "configured_props": {
      "algodocs": { "authProvisionId": "apn_xxxxxxx" },
      "extractorId": "Extractor ID",
      "folderId": "Folder ID"
    }
  }'
```

---

- App: https://pipedream.com/apps/algodocs.md · All apps: https://pipedream.com/apps