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Connect UCL to Cursor and access data from Notion

In this guide, you’ll learn how to connect a UCL deployment to Cursor and use its AI assistant to retrieve summary from Notion for a specific meeting; all without writing any integration code.

What we will achieve

  • Connect your Notion account to UCL

  • Deploy a UCL assistant that runs inside Cursor

  • Retrieve a specific meeting summary using natural language prompts

1. Selecting Your Workspace in UCL

  • Log in to UCL from ucl.dev.

  • After you log in, you can select a workspace or create a new one by clicking on Create Workspace button, after which you'll be directed to the next page to set up your integrations.

When you first log in to UCL, a workspace titled "My Workspace" is created by default.

2. Choose Apps & Actions

  • Selecting your workspace will take you to the Connect Page in your Dashboard. You can Choose the Apps You Need, along with viewing your selected apps and enabled actions.

Actions represent the functions you can perform within each app.

  • From the Connecting Existing Apps button, you can browse and connect to any app available in UCL.

You can select any app by checking the top-right box on the app and click on Select Tools to modify your action selection and then finalize this setup by clicking the Confirm Action button in the right-bottom.

Notion

  • You need to authenticate your Notion account, after which the Notion App will appear as Connected.

  • From Select Tools, you can enable all or any specific Actions.

3. Connect Cursor to UCL

  • Download and install the latest version of Cursor on your desktop.

  • Open Cursor and navigate to Settings in the top-right corner.

  • Next, in the MCP section, click Add Custom MCP; this opens a file named mcp.json.

  • From your UCL dashboard, you can navigate to the Embed section from the top navigation bar and select Cursor from the list of clients available to access the step-by-step embedding guide for Cursor with UCL.

You can select and follow the guide for any client of your choice from the embed page to integrate it with UCL.

  • In the Open Setting and Add MCP Server step, you will see the Cursor command code which you can copy for your workspace and paste it to Cursor.

Checking the Multi Tenant option will enable you to embed connectors and actions for multiple tenants [users].

{
  "mcpServers": {
    "fastn": {
      "transport": "streamable_http",
      "url": "https://mcp.ucl.dev/shttp/space_id={}&tenant_id=test-tenant&auth_token=customAuthToken"
    }
  }
}

  • Paste this configuration into the mcp.json file in Cursor and save it.

  • You should now see the UCL Server listed as connected in Cursor. Under the tools label in Cursor, you can view all the enabled actions available with your connectors in UCL.

4. Use Cursor to Fetch Meeting Summary from Notion

  • In Cursor, click Toggle AI Pane from the top-right corner to open the assistant.

Make sure you’ve selected an agent; it's not auto-set.

  • In the assistant, it will ask for your Notion database ID after you have given a command like:

    Fetch summary from Notion for the meeting titled "Meeting Name"

  • The assistant will use the "Get Tasks" or a relevant action to retrieve notes.

  • The meeting summary should appear directly in your AI plane, ready for review or further processing.

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