Skip to content

Custom apps & analytics

Build a people dashboard in Lovable

For a view Taito.ai doesn’t include as standard, such as a hiring heatmap or a probation tracker, connect Lovable to the Taito.ai MCP server and describe what you want. No backend needed.

Start free trial

14-day free trial · No card required

A probation tracker dashboard being built in Lovable and deployed to /probation, showing three active cases read live from Taito.ai over MCP: Sophie Lane, Software Engineer, on track with 42 days left; Marcus Bennett, Product Designer, needing a check-in with 11 days left; and James Whitfield, Senior AE, on track with 68 days left.

How it works

Internal apps without the backend

Describe the app, and Lovable builds the UI against live records over MCP. No schema, no integration code, and the same permissions the people agents follow.

The internal app you actually wanted

A real app that reads live records, not a screenshot pasted into a Notion doc.

No middleware to maintain

MCP is the API. Lovable is the UI. That’s the whole stack.

Access control you don’t rebuild

Taito.ai’s permissions apply automatically, so there’s no separate role model in Lovable.

Prompt

In Lovable:

Build me a "Probation tracker" dashboard for managers, with:
  – Every employee currently on probation, grouped by manager
  – Days remaining, current status (green / yellow / red), last check-in date
  – A "schedule check-in" button that opens a calendar invite
  – A weekly digest emailed to each manager

Connect the app to the Taito.ai MCP server for all people data.
Auth: use my Taito.ai workspace SSO. Every user sees only their own direct reports.

Deploy to /probation on our internal Lovable subdomain.
  • Lovable
  • Taito.ai MCP

Frequently asked questions

Do I need to write any backend code?
No. The Taito.ai MCP server is the API, and Lovable builds the UI against it. There is no schema to model and no endpoint to host.
Who can see the data inside the app?
Each viewer sees exactly what their Taito.ai permissions allow, because the app calls MCP as that person. You do not define a second role model in Lovable.
What if I need data Taito.ai doesn’t show in its own UI?
If the app can do it, MCP exposes it — reads, writes, and actions all go through the same interface, so a custom view isn’t limited to what the standard screens display.

Built to work together

More workflows on the Taito.ai MCP server, or browse all MCP use cases.

  • Engineering performance reviews, grounded in Linear
    Performance

    Engineering performance reviews, grounded in Linear

    Every claim in the draft links to a real issue. Delivered work, PR reviews, and cycle history are pulled live from Linear.

    • Claude
    • Linear
  • GTM performance reviews, grounded in HubSpot
    Performance

    GTM performance reviews, grounded in HubSpot

    Quota is only part of the picture. Claude pulls the deals behind the number from HubSpot: cycle length, expansion, and forecast changes.

    • Claude
    • HubSpot
  • Ask HR anything, in Slack
    Employee experience

    Ask HR anything, in Slack

    Time-off balances, policy answers, headcount lookups — answered from live people data in a DM, scoped to the asker.

    • Slack
    • Claude