• METRICS
  • TEAMS
  • REPOS
  • HUMAN

How to query engineering metrics with your AI

Connect LinearB to your AI client once. From then on, you can pull real-time engineering data through natural language.

Ask AI about this page

Short answer

How can I get DORA metrics using my AI?

Your AI uses the LinearB MCP to pull specific DORA metrics, cycle times, and team data. You get instant answers to questions about throughput or deployment frequency. Here is how it works.

Data outcomes

What you get from your queries.

The AI pulls specific data points from LinearB to answer your questions.

METRICS

DORA stats

The AI pulls deployment frequency and lead time data. You get the specific numbers you need for your reports.

TEAMS

Team breakdowns

Get performance data organized by specific engineering squads. This helps you see how different groups are moving.

REPOS

Repository context

The AI identifies which codebases are driving your cycle time. You can pinpoint exactly where work is slowing down.

HUMAN

Strategic decisions

The AI provides the raw data and trends. You decide how to adjust your roadmap or resource allocation based on those insights.

The workflow

What your AI does when the data arrives.

The AI acts as the bridge between your chat interface and your LinearB workspace.

  1. Identify teams

    The AI looks up your engineering groups to ensure it is pulling data for the right people.

    list_engineering_teams

  2. Locate codebases

    It scans your connected repositories to map work to specific projects.

    list_connected_repos

  3. Fetch metrics

    The AI pulls the specific DORA or cycle time numbers you asked for.

    query_software_metrics

  4. Summarize findings

    The AI translates the raw metric values into a clear answer for your chat.

    query_software_metrics

Try it

Copy these to start.

Use these prompts to get moving.

Starting points

Swap out the team or repo names for your actual LinearB identifiers.

LinearB Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_RQu5BgeMc4kEdSux6KvMTpIFSZDUWY8Nip6OyVZ1/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 — LinearB capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "linearb-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_RQu5BgeMc4kEdSux6KvMTpIFSZDUWY8Nip6OyVZ1/mcp"
    }
  }
}
Copy into chat04

  • What is the current cycle time for the Platform team?

  • Show me the deployment frequency for the auth-service repo.

  • Which engineering team has the highest throughput this month?

  • Compare the DORA metrics between the Mobile and Backend teams.

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

Start here

Connect LinearB once, then ask.

Click the link to authorize the connection. Your credentials stay encrypted, and you can immediately start chatting with your data.

Connect LinearB to your AI

FAQ

How this task behaves

  • 01

    Can the AI change my LinearB settings?

    No. The AI can only read data through the available tools; it cannot modify your LinearB configuration or settings.

  • 02

    Can I use this to delete repositories?

    No. The tools only allow for listing and querying data. The AI has no capability to delete or modify codebases.

  • 03

    Does the AI see all my data?

    The AI only sees the data it needs to answer your specific question using the provided tools.

  • 04

    Can the AI create new engineering teams?

    No. The AI can list existing teams, but it cannot create or manage team structures in LinearB.

  • 05

    Do I need to export CSVs first?

    No. You query the data directly through your AI client.

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