TechnoTracker

An MCP-UI and OpenAI Apps SDK application that turns explicitly selected work context into a deterministic schedule, confirmed actuals, and a reconciled timesheet. Its onboarding asks about the user's job, approved work tools and connection status, company time policy, and preferred workflow before rendering the workday plan.

Architecture

src/
  server.ts          Streamable HTTP MCP server and dual-host UI resources
  contracts.ts       Zod schemas and domain types
  plan-workday.ts    Explicit-input planning use case
  planner/           Priority, scheduling, timesheet, and reconciliation logic
  widget/            React onboarding, planner, and reconciliation UI

There is no standalone API, dashboard, database, connector adapter, or application credential store. ChatGPT retrieves context through separately approved apps and passes only selected data to generate_workday_plan. TechnoTracker never asks for app passwords, access tokens, or tenant-wide Microsoft permissions.

Related MCP server: Timesheet Assistant MCP

MCP tools

• show_technotracker_onboarding renders the interactive setup flow.

• save_technotracker_configuration validates app-submitted configuration. It is app-only, idempotent, and does not write to an external system.

• generate_workday_plan accepts normalized work items, meetings, messages, and the validated configuration, then renders the plan.

• prepare_workday_reconciliation turns the original rundown and refreshed context into app-derived actual-work suggestions that require confirmation.

• finalize_workday_reconciliation is an idempotent pure transform that returns deviations, warnings, carryover, approval state, and the reconciled timesheet. It performs no submission or external write.

The widget keeps versioned, non-sensitive preferences and dated reconciliation drafts in ChatGPT widget state and browser storage. Drafts expire after 14 days. It sends concise context to the conversation at prepare/finalize boundaries. Durable cross-device profiles would require an authenticated storage service and are intentionally out of scope.

The same bundled React UI is published in two forms:

• An MCP Apps resource (text/html;profile=mcp-app) generated by @mcp-ui/server and embedded in relevant tool results.

• A ChatGPT Apps SDK template (text/html+skybridge) with the MCP-UI Apps SDK adapter, referenced through openai/outputTemplate.

Behavior

• Onboarding supports Jira, Azure DevOps, Linear, Asana, ClickUp, Monday, Trello, GitHub, Notion, HubSpot, Confluence, Google Drive, Figma, Supabase, Vercel, Xcode, Outlook, Google Calendar, Teams, Slack, and email.

• Each selected app records whether it is connected in ChatGPT, still needs a connection, or will use manual capture/import. OAuth remains controlled by ChatGPT and the user's workspace administrator.

• The questionnaire captures time basis, entry cadence, submission timing, approval requirements, description style, overtime policy, and whether the user wants a morning plan, end-of-day reconciliation, or weekly summary.

• Work item prefix labels and timesheet codes are configurable. Defaults remain HUB-* => HUBSPOT | HUB-* and DTC-* => DTC | DTC-*.

• Meeting and internal codes are configurable and default to INT-58.

• Target hours are configurable from 1 to 16 hours in quarter-hour increments; the default is exactly 8 hours.

• Entries can be rounded to 1, 5, 6, 10, 15, or 30 minutes.

• Meetings are immutable busy intervals.

• Generated work blocks are free and never overlap meetings.

• Work blocks receive a 15-minute meeting buffer.

• Planned timesheets exactly match the configured daily target.

• Reconciliation supports completed, partial, skipped, replaced, and unplanned work with editable duration, issue key, timesheet code, and notes.

• Fixed-day, project-budget, and billable-split policies balance short days. Actual-time policies never add balancing time.

• Overtime can be capped deterministically, included as actual, or preserved with a review requirement.

• Partial, skipped, and replaced planned work is returned as carryover.

• Remind me sends a follow-up request to ChatGPT; TechnoTracker does not perform background scans.

• MCP tools perform no external writes.

Local development

Requirements: Node.js 22+ and npm 11+.

cp .env.example .env
npm install
npm run dev

The MCP endpoint is http://localhost:8000/mcp.

• Onboarding preview: http://localhost:8000/preview?preview=1

• Plan preview: http://localhost:8000/preview?preview=plan

• Reconciliation preview: http://localhost:8000/preview?preview=reconcile

Connect to ChatGPT

1. Run npm run dev.

2. Expose port 8000 through an HTTPS development tunnel.

3. Enable developer mode in ChatGPT.

4. Add https://<tunnel-host>/mcp as an app.

5. Ask ChatGPT to run show_technotracker_onboarding.

6. Select work apps and record their connection state. Use Open ChatGPT Apps for anything marked Needs connection, then complete its OAuth flow if permitted by the workspace.

7. Answer the company time-policy and workflow questions.

8. Choose Build today's plan. ChatGPT gathers relevant context through approved apps and calls generate_workday_plan.

9. At the end of the day, choose Reconcile day or ask ChatGPT to update the reconciliation in chat. Confirm every suggestion before finalizing.

The planner app does not inherit credentials from those apps and requires no OpenAI API key. It receives only tool arguments selected for the current call.

Validation

npm test
npm run typecheck
npm run build
npm audit --omit=dev

Tests cover default and custom prefix rules, onboarding/tool metadata, priority scoring, overlap detection, meeting buffers, free/busy behavior, reconciliation confirmation, carryover, rounding, meeting exclusion, target balancing, overtime policies, draft expiry, and idempotent finalization.

Implementation follows the MCP-UI Apps SDK guide, OpenAI Apps SDK documentation, and official Apps SDK examples.