• HISTORY
  • STATUS
  • GAPS
  • HUMAN

How to monitor test coverage with your AI

Connect Code Climate to your AI client once. After that, you can ask your agent to pull specific coverage data or check the health of any repository.

Ask AI about this page

Short answer

How can I check my repo's test coverage using AI?

Your AI queries Code Climate to pull historical test reports and current code quality metrics. You get a clear view of your testing health without leaving your chat interface. This allows you to spot coverage gaps and quality regressions instantly.

Where every insight lands.

Coverage outcomes

The data your AI pulls from Code Climate maps to these specific areas of your workflow.

HISTORY

Trend analysis

The AI pulls past reports to show if your coverage is growing or shrinking. You see the trajectory of your testing efforts over time.

STATUS

Current health check

Get an immediate snapshot of your repository's current quality. Your agent identifies if you are meeting your defined coverage goals.

GAPS

Identify untested code

The AI looks for areas where coverage is low. You get a list of specific files or modules that need more tests.

HUMAN

Manual code fixes

The AI identifies the problems, but you still write the tests. You decide which coverage gaps are high priority for your next sprint.

The workflow

What your AI does when the data arrives.

Your agent acts as a bridge between your chat and your Code Climate dashboard.

  1. Fetch test history

    Your agent pulls a list of previous coverage runs for a specific repository. This provides the context needed to see how testing has changed.

    list_repository_test_reports

  2. Check quality metrics

    The AI looks up the current quality status of your code. It checks things like maintainability and coverage percentages.

    get_repository_code_quality

  3. Analyze coverage trends

    By comparing recent reports against older ones, your agent identifies if your testing health is improving. It spots sudden drops in coverage.

    list_repository_test_reports

  4. Summarize health status

    The AI combines the latest quality data and test reports into a plain English summary. You get a quick verdict on whether your repo is healthy.

    get_repository_code_qualitylist_repository_test_reports

Try it

Copy these to start.

Use these prompts to begin interacting with your Code Climate data.

Starting points

Replace the repository names in these prompts with your actual project names.

Code Climate Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_dEa3ubWm5DI8grNI5Jrd9891vm9odnIoA9LITGNs/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 — Code Climate capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "code-climate-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_dEa3ubWm5DI8grNI5Jrd9891vm9odnIoA9LITGNs/mcp"
    }
  }
}
Copy into chat04

  • Show me the last five test coverage reports for the backend-api repo.

  • What is the current code quality status for the frontend-app repository?

  • Has the test coverage for the auth-service decreased in the last three reports?

  • Summarize the code quality and testing health for the data-pipeline repo.

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

Start here

Connect Code Climate once, then ask.

You only need to link your account once. Your credentials stay encrypted, and you can immediately start asking your AI about your repositories.

Connect Code Climate to your AI

FAQ

How this task behaves

  • 01

    Can the AI change my coverage settings in Code Climate?

    No. The AI can only read reports and quality data. It cannot modify your Code Climate configurations or settings.

  • 02

    Can the AI write the actual test code for me?

    No. The AI identifies where coverage is missing, but you must write and commit the tests yourself.

  • 03

    Does the AI see all my repositories?

    The AI can access any repository you specifically ask it to query, provided you have given it permission through the connector.

  • 04

    How does the AI get the coverage data?

    It uses specific tools to pull historical reports and current quality metrics directly from your Code Climate account.

  • 05

    Can I ask about coverage for a specific file?

    Yes, you can ask your agent to look at the quality and coverage status of specific files within a repository.

  • More questions about Code Climate? See everything the Code Climate Connector can do

Connect Code Climate to Claude, Cursor, ChatGPT & more