Getting Started with UCL

Unified Context Layer (UCL) enables your SaaS platforms to deliver embedded, secure, and scalable AI integrations.

1. Setting Up Your Account

To set up your account with Fastn, go to ucl.dev and simply register by entering your name, email, and password.

Alternatively, you can quickly sign up using your existing Gmail or GitHub account for faster onboarding.

2. Workspace Selection

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.

3. Start Building

• After selecting your workspace, complete the quick onboarding questions.

• This will lead you to the next page where you can click on Start Building to open the apps you selected during onboarding.

Step 1: Select Your Apps Then Chat

• Next, you can see the interface for the first step where you can see all the apps you have selected.

You can connect each app using the Connect button or remove an app by clicking on 'x'.

• Once an App is connected, you will see the button labelled 'Connected'.

• UCL's AI Asisstant Playground would now be seen on the left-side of the screen where you can give a prompt to perform actions with the selected apps.

Click on Continue on the top-right corner to move to the next step.

4. Finalize Connection Setup

• You will now be moved to the second step where you can finalize your connection setup.

• You can choose Sandbox to try UCL in the interactive test environment. Or select Favorite Client to test UCL with your preferred client app

• Click Complete Setup (top right) to move to the Connect page.

5. Choose Apps & Actions

• On 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.

Connecting Existing Apps

• From the Connecting Existing Apps button, 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.

Custom Apps

You can also create a Custom App, which means:

• Building your own application with preferred actions, or

• Adding new actions to existing connectors.

• Learn more about custom connectors here.

6. Embed AI Clients

• Open the Embed section (top corner) to access detailed instructions for connecting AI clients with UCL.

• Connect prebuilt AI clients or your own AI agent.

• From the sidebar, you can:

  • Browse platform documentation

  • Launch Sandbox

  • Join the Discord community

7. Monitor with Insights

• The Insights dashboard provides monitoring metrics, including:

  • Active tenants and connectors

  • Tenant requests and success rate

  • Usage stats (monthly, weekly, today)

  • Connection success rate and vulnerability checks

  

  Learn more about UCL Monitoring here.

8. Test in Playground

• You can use the Playground (from the three-dot menu, top right) to test all connected apps.

• Run commands directly with your AI agent against the integrated apps.

• In the AI Assistant, enter the prompt describing the action you want to perform. For example:

Assign "Task Name" to "User's Jira ID"

The AI Assistant will process your request using the appropriate action in the connected app, such as updating task in Jira.

• Once successful, the task ownership will be updated in your Jira workspace.

This setup allows you to automate and streamline task management in Jira using natural language, making workflows faster and more efficient.

Connecting External AI Agents: For a detailed guide on integrating UCL server into your external AI agent, please refer to our comprehensive documentation: Embedding Fastn MCP server into your AI Agent [MCP Client]