gradle-mcp
Integrates Gradle build system directly into Claude conversations, eliminating context-switching between IDE and AI for build troubleshooting, dependency ana…
MCP server for Gradle that gives AI agents tools to explore multi-project structures, run builds and filtered test suites in the background, audit and update dependencies, search dependency and Gradle source code, use an interactive Kotlin REPL against project classes, render Compose UI previews, and query indexed Gradle documentation. Distributed via Maven Central and run with jbang.
- Debug failing Gradle builds by introspecting task graph and logs
- Analyze dependency conflicts and version mismatches in multi-module projects
- Generate or refactor Gradle configuration files based on project structure
Integrates Gradle build system directly into Claude conversations, eliminating context-switching between IDE and AI for build troubleshooting, dependency analysis, and task execution.
Java/Kotlin development teams using Gradle who want Claude to inspect build configurations, run tasks, and diagnose build failures without leaving chat.
https://github.com/rnett/gradle-mcp
By rnett
How to Get It
jbang run --quiet --fresh gradle-mcp@rnett # register as the MCP server command in your client config
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Once it’s connected, paste this into Claude:
Help me debug failing Gradle builds by introspecting task graph and logs
Trust Signals Auto-scanned
Data & Access
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 61 GitHub stars; 4 contributors; last commit 1d ago; license Apache-2.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 61 GitHub stars; 4 contributors; last commit 1d ago; license Apache-2.0.