# Gradle

> Use this tool when you need to automate Gradle project management and builds through conversational AI, or interact with Gradle projects remotely. It solves problems related to manual configuration and execution of Gradle tasks, providing a standardized interface for retrieving project metadata and executing tasks. The Gradle MCP server accepts project identifiers and task commands as inputs and outputs project metadata and execution results through stdio or SSE transport modes.

Canonical page: https://skillsregistry.net/skills/ilyagulya-gradle  
JSON: https://api.skillsregistry.net/v1/skills/ilyagulya-gradle

## Description

Gradle MCP server enables AI tools to interact with Gradle projects through a standardized interface built on the Gradle Tooling API. It exposes tools for retrieving project metadata and executing Gradle tasks remotely, with support for both stdio and SSE transport modes. Particularly valuable for developers who want to automate Gradle project management and builds through conversational AI without manual configuration.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ilyagulya-gradle)
- **Repository:** <https://github.com/ilyagulya/gradle-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ilyagulya-gradle"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ilyagulya-gradle` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ilyagulya-gradle/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
