MCP Servers
Develocity provides several MCP servers that connect your build data with AI clients. The currently available MCP servers are the Develocity MCP Server and the Develocity Analytics MCP Server. All MCP servers follow the standard Model Context Protocol (MCP) and can be configured in any MCP-enabled AI client.
Develocity MCP Server
The Develocity MCP Server provides a secure, streamlined way to bring Develocity's full build context into any MCP-enabled AI client. With direct access to build data, developers and build engineers can obtain real-time analysis, actionable insights, and rapid feedback on issues directly from their AI client.
To enable this feature on your Develocity installation, follow the installation manual. You need to be running Develocity 2025.3 or higher.
Key Features
The Develocity MCP Server provides the following capabilities to your AI client, enabling the client to browse Develocity on your behalf, summarize build results, draw conclusions, and research solutions for issues in your local builds and CI pipelines:
- Investigate Build Issues
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Access detailed exception information, stack traces, and context about the environment to understand the cause of recent build failures.
- Advanced Failure Analytics
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Use Develocity’s failure grouping to identify root causes and common failure patterns.
- Analyze Test Patterns
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Identify flaky tests, discover failure trends, and analyze test performance across your test suites.
- Monitor Build Performance
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Query execution times, resource usage, network activity patterns, and build caching effectiveness.
- Explore Build Data
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Filter build data by projects, users, build outcomes, time, and custom tags across Gradle, Maven, sbt, npm, and Python projects.
Develocity Analytics MCP Server
The Develocity Analytics MCP Server provides a secure, streamlined way to bring Develocity's Reporting and Visualization data into any MCP-enabled AI client. With access to aggregate build data, developers and build engineers can obtain deep analysis, actionable insights, and informed recommendations on build trends directly from their AI client.
To enable this feature on your Develocity or Develocity Reporting Kit instance, follow the installation manual. You need to be running Develocity 2025.4 or higher with Athena Data Export enabled, or Develocity Reporting Kit 2.1 or higher.
Key Features
The Develocity Analytics MCP Server provides the following capabilities to your AI client, enabling the client to query your Develocity Reporting and Visualization data on your behalf:
- Analyze Aggregate Build Data
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Query and analyze large batches of build data.
- Identify Dependency Risks
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Detect projects using outdated or vulnerable dependency versions across your organization.
- Monitor Build Performance Trends
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Analyze configuration times, task durations, and build performance patterns over time.
- Assess CI Stability
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Identify failure patterns, prioritize fixes, and understand the impact of failing builds across users and projects.
Skills
Both MCP servers bundle skills that are automatically invoked when the situation calls for them — no manual setup required. Skills provide guided workflows that help the client make effective use of available tools, improving the quality and relevance of responses.
Which MCP Server Should I Use?
Both MCP servers can work independently without the other being set up. However, for the best results, use both.
The Develocity MCP Server is designed to analyze individual builds and build failures. Some data, such as test data or failure grouping data, is only available from this server.
The Develocity Analytics MCP Server is designed to analyze larger batches of aggregated data across your organization.
Continue by enabling the MCP servers for your Develocity installation and connecting your AI clients.