For AI agents: A markdown version of this page is available at https://docs.datadoghq.com/getting_started/software_delivery_mcp_tools.md. A documentation index is available at /llms.txt.

Getting Started with Software Delivery MCP Tools

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Overview

The Datadog MCP Server enables AI agents to access your Software Delivery data through the Model Context Protocol (MCP). The software-delivery toolset provides tools for interacting with CI Visibility and Test Optimization directly from AI-powered clients like Cursor, Claude Code, or OpenAI Codex.

Use cases

The Software Delivery MCP tools unlock AI-assisted workflows for:

  • Debugging pipeline failures: Ask your AI agent to find recent pipeline failures, analyze error logs, and suggest fixes.
  • Identifying flaky tests: Query for flaky tests in your repository and get prioritized recommendations for which to fix first.
  • Analyzing CI performance: Get aggregated statistics on pipeline durations, failure rates, and trends over time.
  • Triaging test failures: Understand which tests are failing, their ownership, and historical patterns.
  • Reviewing code coverage: Get coverage summaries for branches or commits, including patch coverage and breakdowns by service or code owner.

Available tools

The software-delivery toolset includes the following tools:

search_datadog_ci_pipeline_events
Search CI pipeline events with filters and get details on failures, durations, and statuses.
aggregate_datadog_ci_pipeline_events
Aggregate CI pipeline events for statistics like average durations, failure counts, and percentile analysis.
get_datadog_flaky_tests
Find flaky tests with triage details including failure rate, category, owners, and CI impact.
aggregate_datadog_test_events
Aggregate test events to analyze reliability and performance trends.
search_datadog_test_events
Search test events with filters and get details on them.
get_datadog_code_coverage_branch_summary
Fetch aggregated code coverage summary metrics for a repository branch, including total coverage, patch coverage, and service/codeowner breakdowns.
get_datadog_code_coverage_commit_summary
Fetch aggregated code coverage summary metrics for a repository commit, including total coverage, patch coverage, and service/codeowner breakdowns.

Example prompts

After you are connected, try prompts like:

  • Show me all the pipelines for my commit 58b1488.
  • What’s causing the integration-test job to fail on my branch?
  • Find active flaky tests for the checkout service sorted by failure rate.
  • How many failed pipelines have there been in the last 2 weeks?
  • Show me the 95th percentile of pipeline duration grouped by pipeline name.
  • What’s the code coverage on the main branch for github.com/my-org/my-repo?
  • Show me coverage metrics for commit abc123abc123abc123abc123abc123abc123abcd.

Setup

To use the Software Delivery tools, connect to the Datadog MCP Server with the software-delivery toolset enabled. Add the toolsets query parameter to the endpoint URL for your Datadog site:

https://mcp./api/unstable/mcp-server/mcp?toolsets=core,software-delivery

For full setup instructions including client configuration for Cursor, Claude Code, VS Code, and other AI clients, see Set Up the Datadog MCP Server.

Further reading

Additional helpful documentation, links, and articles:

Datadog MCP Server SetupDOCUMENTATION more more CI VisibilityDOCUMENTATION more more Test OptimizationDOCUMENTATION more more Connect your AI agents to Datadog tools and context using the Datadog MCP ServerBLOG more more