No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by rnett · MCP Server · ★ 60
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is gradle-mcp safe to install? View the security audit →
[]() Gradle MCP server A Model Context Protocol (MCP) server for Gradle. It gives AI agents the tools they need to explore project structures, run tasks, audit dependencies, and interact with the JVM runtime. Features Source downloading and indexing tools will be moving to a dedicated MCP/cli soon. Agent Skills: Built-in workflows that guide AI agents through complex Gradle tasks. Project Mapping: Easily explore multi-project structures, modules, tasks, and properties. Smart Task Execution: Run builds in the background, monitor progress, and capture specific task outputs without the noise. Supports advanced environment control and shell environment sourcing. Advanced Testing: Run filtered test suites and get full access t
| Stars | 60 |
| Forks | 4 |
| Language | Kotlin |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 71.0900408820024/100 |
| Open Issues | 8 |
| Last Updated | 2026-09-04 |
| Created | 2025-09-29 |
| Platforms | mcp |
| Est. Tokens | ~16k |
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gradle-mcp is A comprehensive MCP server for Gradle.. It is categorized as a MCP Server with 60 GitHub stars.
gradle-mcp is primarily written in Kotlin. It covers topics such as agent, agent-skills, ai.
You can find installation instructions and usage details in the gradle-mcp GitHub repository at github.com/rnett/gradle-mcp. The project has 60 stars and 4 forks, indicating an active community.
gradle-mcp is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to gradle-mcp on Agent Skills Hub include toolhive-studio, memov, claude-historian-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: