How to Connect Gmail and Telegram to an AI Agent via a Unified Connector

How to Connect Gmail and Telegram to an AI Agent via a Unified Connector: A Step-by-Step Guide

Modern AI agents are becoming indispensable assistants in task automation, from analyzing emails to instant messaging responses. But how do you combine Gmail and Telegram in a single workflow without complex integrations? The answer is a universal credential connector. In this article, we'll break down how to connect Gmail AI and Telegram AI to your agent using a unified set of credentials.

Why a Unified Connector Matters

Manually connecting each service through different APIs requires time and resources. A universal connector simplifies this process:
- Centralized Storage: All credentials (tokens, access keys) are stored in one place.
- Scalability: Adding a new service takes minutes.
- Security: Manage access rights through a single interface.

Now let's move to practice.

Step 1: Setting Up the Universal Connector

Before connecting, ensure your AI agent supports integration via OAuth 2.0 or API keys. Here's what you need to do:

  1. Create a project in Google Cloud Console:
  2. Go to the "Credentials" section.
  3. Generate a Client ID and Client Secret for the Gmail API.
  4. Enable Gmail access (methods: reading, sending emails).

  5. Get a Telegram Bot Token:

  6. Write to @BotFather in Telegram.
  7. Create a new bot and copy the token.

  8. Configure the unified connector:

  9. In your AI agent's interface (e.g., Asibiont), find the "Credentials Manager" section.
  10. Add two sets of data: Gmail AI: {client_id, client_secret} and Telegram AI: {bot_token}.
  11. Specify the scope for Gmail, e.g., https://www.googleapis.com/auth/gmail.readonly.

Step 2: Connecting Gmail to the AI Agent

Now that credentials are saved, integrate the email:

  • Authorization: Your agent will automatically request access to Gmail via OAuth. Confirm it in the browser.
  • Example of operation: The agent analyzes incoming emails and sorts them by priority. For example, an email from a client with the subject "Urgent" — the agent sends a notification to Telegram.
  • Code for verification: Use a simple request to the Gmail API through the connector:
    POST /connect { "service": "gmail", "action": "list_emails", "credentials": "gmail_ai_creds" }

Step 3: Connecting Telegram to the AI Agent

Telegram AI connects even more simply:

  1. Pass the token: Insert the Bot Token into the connector's credentials field.
  2. Set up a webhook: Specify the URL of your agent where Telegram will send updates.
  3. Example: The bot automatically responds to user messages using the AI knowledge base. For instance, a user writes "Show the latest emails," and the agent retrieves data via Gmail AI.

Example Use Case: Support Automation

Imagine you use an AI agent to process requests:
- Scenario: A client sends an email to Gmail with a question.
- Action: The agent reads the email via Gmail AI, analyzes it, and sends a response to the Telegram support chat.
- Result: Response time is reduced from 2 hours to 1 minute.

To do this, set up a trigger: "When a new email arrives in Gmail → send a notification to Telegram."

Security Tips

  • Never store credentials in plain text: Use encryption in the connector.
  • Limit permissions: For Gmail, grant read-only access if sending is not needed.
  • Update tokens: Regularly check the expiration of OAuth tokens.

Conclusion

Connecting Gmail AI and Telegram AI via a unified credential connector is a quick path to automation without headaches. Now you can manage email and messenger from one place, saving hours of manual work. Try this approach in your project today.

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