# Push Model to Library — Ollama

> Upload a model to a model library. Requires registering for ollama.ai and adding a public key first. See the documentation.

- Key: `ollama-push-model`
- Type: Action (Write)
- Version: 0.0.3
- App: Ollama (`ollama`) — https://pipedream.com/apps/ollama.md
- This page (HTML): https://pipedream.com/apps/ollama/actions/push-model
- Hints: open-world
- Source: https://github.com/PipedreamHQ/pipedream/blob/master/components/ollama/actions/push-model/push-model.mjs

## Description

Upload a model to a model library. Requires registering for ollama.ai and adding a public key first. [See the documentation](https://github.com/ollama/ollama/blob/main/docs/api.md#push-a-model).

## Props

| Prop | Type | Required | Description |
|---|---|---|---|
| `name` | `string` | Yes | Name of the model to push in the form of <namespace>/<model>:<tag>. Please make sure you follow the instructions in this issue in order to push a model to your own library in ollama.com. Options are loaded from the connected account. |
| `insecure` | `boolean` | No | Allow insecure connections to the library. Only use this if you are pulling from your own library during development. |
| `stream` | `boolean` | No | If false the response will be returned as a single response object, rather than a stream of objects. |

## 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": "ollama",
      },
    },
  },
)

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: "ollama-push-model",
  arguments: {
    name: "Model Name",
    insecure: true,
  },
})
```

**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: "ollama-push-model",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    ollama: { authProvisionId: "apn_xxxxxxx" },
    name: "Model Name",
    insecure: true,
  },
})

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": "ollama-push-model",
    "configured_props": {
      "ollama": { "authProvisionId": "apn_xxxxxxx" },
      "name": "Model Name",
      "insecure": true
    }
  }'
```

---

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