• ANALYSIS
  • STATUS
  • ALERT
  • SUMMARY

How to monitor project hours with your AI

Connect Float to your AI client to bridge the gap between your plans and reality. Once connected, your agent handles the data crunching.

Ask AI about this page

Short answer

How can I track my project hours using AI?

Your AI pulls planned task allocations and compares them against the time your team actually logged. You get a clear view of budget burn and progress deviations. This breakdown shows you exactly how the data flows.

Where your data goes.

Project outcomes.

The AI processes your Float data into these specific results.

ANALYSIS

Budget burn reports

The AI compares planned hours to logged time. You see exactly where you are over or under budget.

STATUS

Progress tracking

It maps logged time against task allocations. You'll know if a project is lagging behind schedule.

ALERT

Human intervention

The AI flags massive discrepancies. You decide if you need to adjust allocations or talk to the team.

SUMMARY

Resource health

It aggregates data across multiple projects. You get a high-level view of how resources are being used.

The workflow

What your AI does when the request arrives.

The AI acts as a bridge between your planning and your reality.

  1. Identify projects

    The agent finds the specific projects you want to audit.

    list_projects

  2. Check plans

    It pulls the specific task allocations you set up in Float.

    list_allocations

  3. Verify actuals

    The AI pulls the real time entries recorded by your team.

    get_logged_time

  4. Calculate variance

    It compares the two datasets to find the difference between planned and actual hours.

    get_logged_time

Try it

Copy these to start.

Use these prompts to kick off your analysis.

Starting points

Swap the project names for your actual Float project titles.

Float Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_v1XZ4JkGSeP293PhpiPLLC8qjaaYvhHv2u1XfkkK/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Float capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "float-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_v1XZ4JkGSeP293PhpiPLLC8qjaaYvhHv2u1XfkkK/mcp"
    }
  }
}
Copy into chat04

  • Compare the planned allocations for the Website Redesign project against the actual time logged.

  • Which projects are currently over their allocated hours?

  • Show me the budget consumption for the Mobile App launch based on logged time.

  • List all projects where the actual hours exceed the planned allocations by more than 10%.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Float once, then ask.

One connection gives your AI access to your Float data. Your login stays encrypted and secure on our side.

Connect Float to your AI

FAQ

How this task behaves.

  • 01

    Can the AI change my project allocations?

    No. The AI can only read your data to perform comparisons. You must make all changes manually in Float.

  • 02

    Can the AI delete logged time entries?

    No. This MCP is read-only for time and allocation data. It cannot modify or delete any records.

  • 03

    How does it know which project I'm talking about?

    It uses the project list to match your natural language descriptions to the correct IDs in Float.

  • 04

    Does it see all my Float data?

    It only accesses the specific projects and time entries required to answer your specific question.

  • 05

    Can I use this with Claude?

    Yes, as long as you are using an MCP-compatible client like Claude Desktop.

  • More questions about Float? See everything the Float Connector can do

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