# List Stages — Lever

> Returns all pipeline stages configured in the Lever account. Use this to resolve stage names to IDs before filtering candidates with Search Opportunities, moving a candidate with Update Opportunity Stage, or creating an opportunity at a…

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

## Description

Returns all pipeline stages configured in the Lever account. Use this to resolve stage names to IDs before filtering candidates with **Search Opportunities**, moving a candidate with **Update Opportunity Stage**, or creating an opportunity at a specific stage. Returns each stage's id and text (display name). Returns one page (up to `limit`); if the response's `hasNext` is true, pass its `next` value to `offset` to fetch the following page. Example: call with no arguments → returns stages like `{ id: "lead-new", text: "New lead" }`; pass a stage id to **Update Opportunity Stage**. [See the documentation](https://hire.lever.co/developer/documentation#list-all-stages)

## Props

| Prop | Type | Required | Description |
|---|---|---|---|
| `limit` | `integer` | No | Maximum number of stages to return (1–100). Defaults to 100. |
| `offset` | `string` | No | Pagination cursor. Pass the next value from a previous response to fetch the next page. |

## 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": "lever",
      },
    },
  },
)

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: "lever-list-stages",
  arguments: {
    limit: 10,
    offset: "Offset (cursor)",
  },
})
```

**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: "lever-list-stages",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    lever: { authProvisionId: "apn_xxxxxxx" },
    limit: 10,
    offset: "Offset (cursor)",
  },
})

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": "lever-list-stages",
    "configured_props": {
      "lever": { "authProvisionId": "apn_xxxxxxx" },
      "limit": 10,
      "offset": "Offset (cursor)"
    }
  }'
```

---

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