> For the complete documentation index, see [llms.txt](https://docs.jetadmin.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.jetadmin.io/ai-agents/slack-telegram-email-and-mcp/using-agents-in-external-tools.md).

# Using Agents in External Tools

Agents in JetAdmin can be connected to external platforms and used as bots. This allows you to interact with your agents directly from tools like Slack, Telegram, and more without opening your app.

#### Supported Platforms

You can connect agents to:

* Slack (channels and direct messages)
* Telegram (direct messages and groups)
* Emails (interact with agents via email)
* MCP clients (connect through the Model Context Protocol)
* WhatsApp and additional platforms (coming soon)

### How to Connect an Agent

To connect an agent:

1. Open your agent
2. Click **“Add to”** (top center)
3. Follow the setup instructions for your selected platform

{% @arcade/embed flowId="boxU3PyJHQFOhWw6DeUV" url="<https://app.arcade.software/share/boxU3PyJHQFOhWw6DeUV>" %}

{% content-ref url="/pages/jOfMUAvXvVPltDdhqmuc" %}
[Using Agents in Slack](/ai-agents/slack-telegram-email-and-mcp/using-agents-in-slack.md)
{% endcontent-ref %}

{% content-ref url="/pages/KYiwqQXSuChPUYoTpgKP" %}
[Using Agents in Telegram](/ai-agents/slack-telegram-email-and-mcp/using-agents-in-telegram.md)
{% endcontent-ref %}

{% content-ref url="/pages/AtMeAQ1tbPlvLt1oI9uJ" %}
[Using Agents with Email](/ai-agents/slack-telegram-email-and-mcp/using-agents-with-email.md)
{% endcontent-ref %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.jetadmin.io/ai-agents/slack-telegram-email-and-mcp/using-agents-in-external-tools.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.