• DUPLICATES
  • CONFLICTS
  • GAPS
  • HUMAN REVIEW

How to audit workspace labels with your AI

Connect Hive to your agent to run cross-workspace inspections. Once connected, your AI handles the heavy lifting of comparing label structures across your entire project setup.

Ask AI about this page

Short answer

Can my AI check for label consistency in Hive?

Yes. Your agent uses Hive tools to pull lists of workspaces and their specific labels to spot duplicates or naming errors. You'll get a clear map of where your taxonomy breaks down.

Audit outcomes

Where inconsistencies land.

The AI organizes its findings into these specific categories.

DUPLICATES

Identify redundant labels

The agent finds identical or near-identical labels used across different workspaces. This helps you prune unnecessary clutter.

CONFLICTS

Spot naming mismatches

Your AI flags where one workspace uses 'In Progress' while another uses 'Doing'. It highlights these inconsistencies immediately.

GAPS

Find missing categories

The agent notices when certain workspaces are missing standard labels used elsewhere. You'll see exactly where your taxonomy is incomplete.

HUMAN REVIEW

Final cleanup decisions

The AI presents a list of suggested changes. You decide which labels to merge, delete, or rename to fix the mess.

The workflow

What your AI does when the audit starts.

The agent moves through your Hive environment to gather the data needed for a full comparison.

  1. Map the environment

    The agent first identifies every workspace you have access to in Hive.

    list_workspaces

  2. Extract label sets

    It pulls the specific label names and IDs from each identified workspace.

    list_labels

  3. Compare taxonomies

    The agent cross-references the label lists to find overlaps, typos, or missing standard terms.

    list_labels

  4. Report inconsistencies

    The agent summarizes the findings, grouping errors by type so you can address them easily.

    list_workspaceslist_labels

Try it

Copy these to start.

Paste these prompts into your chat to begin the audit.

Starting points

These are basic starting lines. Swap out the specific workspace names for the ones you actually use.

Hive Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_kiwvwPztSJQHJn3paM6LFLn0SuUa79yMG3Qisufr/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 — Hive capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "hive-project-management-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_kiwvwPztSJQHJn3paM6LFLn0SuUa79yMG3Qisufr/mcp"
    }
  }
}
Copy into chat04

  • List all my Hive workspaces and tell me if any have duplicate labels.

  • Compare the labels in the 'Marketing' workspace with the 'Sales' workspace and find naming mismatches.

  • Check all my Hive workspaces for any labels that don't follow a standard 'Status' format.

  • Show me a list of all unique labels used across my entire Hive account.

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

Start here

Connect Hive once, then ask.

Just link your account through the Vinkius interface. Your credentials stay encrypted, and you can immediately start asking your agent questions about your Hive data.

Connect Hive to your AI

FAQ

How the audit behaves

  • 01

    Can the AI delete labels for me?

    No. The AI can only read and list your workspaces and labels. You have to perform any deletions or changes manually in Hive.

  • 02

    Does the AI see my private project data?

    The AI only accesses the workspace and label metadata it needs to perform the specific task you ask for.

  • 03

    Can I audit labels in a workspace I don't have access to?

    No. The AI can only see and interact with the Hive workspaces that your own account has permission to view.

  • 04

    Will this change my Hive settings?

    No. This MCP is read-only for these specific tasks. It identifies issues but does not modify your Hive configuration.

  • 05

    How does it know which labels are 'standard'?

    The AI uses its own reasoning to identify patterns. You can define what 'standard' means by telling the agent your specific naming rules.

  • More questions about Hive? The Connector page answers them. See everything the Hive Connector can do

Connect Hive to Claude, Cursor, ChatGPT & more