# Langdock

Source: https://pushary.com/docs/agents/guides/langdock
Last updated: 2026-10-04

> Connect Pushary to Langdock as a remote MCP integration, so Langdock chats, agents and workflows can notify you and ask you questions on your phone.

Langdock can use Pushary in chats, agents and workflows through a remote MCP integration. MCP (Model Context Protocol) is the standard way AI apps call outside tools. Once connected, a Langdock agent can send you a push notification and ask you a yes/no, choice or free-text question that you answer on your phone.

This is the server URL you enter in Langdock:

```text
https://pushary.com/api/mcp/mcp
```

Langdock's agent chooses when to send a notification or ask a question. This connection does not hold a separate action in your workflow until you approve it.

## Connect Pushary [#connect-pushary]

You need Langdock's **Create integrations** permission. If **Create** is missing, ask a workspace admin to create the connection or give you that permission.

<Steps>
  <Step>
    ### Create an MCP integration [#create-an-mcp-integration]

    Open **Plugins** in Langdock, then select **Create > Integration > MCP Integration**.
  </Step>

  <Step>
    ### Enter the server URL [#enter-the-server-url]

    Enter `https://pushary.com/api/mcp/mcp` as the server URL.
  </Step>

  <Step>
    ### Choose OAuth and connect [#choose-oauth-and-connect]

    Choose &#x2A;*OAuth 2.0 (Dynamic Client Registration)**, then **Create and connect**. Langdock registers itself with Pushary, so you need no client ID or secret.
  </Step>

  <Step>
    ### Sign in to Pushary [#sign-in-to-pushary]

    Sign in to the Pushary account that owns your devices.
  </Step>

  <Step>
    ### Pick the tools [#pick-the-tools]

    Select **List Server Features**. Keep `send_notification`, `ask_user`, `wait_for_answer` and `cancel_question` turned on. Langdock may select every feature it finds. Turn off `propose_scope`, because its file-path check does not apply to Langdock chats. The five documentation resources are optional. Save the integration.
  </Step>

  <Step>
    ### Turn it on in a chat [#turn-it-on-in-a-chat]

    In a new Langdock chat, open **Plugins** and select **Pushary**.
  </Step>

  <Step>
    ### Send a test [#send-a-test]

    Ask Langdock to send a test notification to your phone. Then ask it a harmless yes/no question through `ask_user`, and answer it on your phone. Langdock shows your answer.
  </Step>
</Steps>

## Connect with an API key instead [#connect-with-an-api-key-instead]

If your workspace cannot complete the OAuth setup, choose **API Key** with the **Authorization: Bearer** header type. Create a key in [Settings > API keys](https://pushary.com/dashboard/agent/settings) and paste it into Langdock's API key field. Keep the key out of the server URL and out of shared instructions.

With an API key, Langdock may list more Pushary tools. Keep only the four tools above turned on.

<Callout type="info">
  Langdock can ask for your confirmation before an MCP tool runs. You can turn that on in Langdock after saving the integration. It controls the tool call inside Langdock. It does not prove that an unrelated business action waited for your approval.
</Callout>

## Why does the Pushary tool fail in Langdock? [#why-does-the-pushary-tool-fail-in-langdock]

If the tool shows up but a call fails, check three things:

1. You signed in with the Pushary account that owns your phone.
2. The chat uses the right Langdock connection.
3. The four tools are turned on in the integration.

See [Langdock's MCP setup guide](https://docs.langdock.com/en/using-langdock/guides/integrations/mcp/mcp) for its current screens.

## Next steps [#next-steps]

<Cards>
  <Card title="Set up your phone" description="Install the Pushary app and turn on notifications so questions reach you." href="/docs/agents/receiving-notifications" />

  <Card title="Tools reference" description="What each Pushary tool does, its inputs and what it returns." href="/docs/agents/reference/tools" />
</Cards>