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IlyaGulya/gradle-mcp-server

by Various

A Model Context Protocol (MCP) server to enable AI tools to interact with Gradle projects programmatically.

I

MCP

IlyaGulya/gradle-mcp-server

Added 1 June 2026

Overview

A Model Context Protocol (MCP) server that allows AI tools to interact with Gradle projects programmatically. It provides a standardized interface for reading build configurations, running tasks, and querying dependencies.

Best for

Best for
Developers using MCP-based AI assistants who need programmatic access to Gradle projects.

Use cases

  • Interrogate Gradle build files and project structure from an AI assistant
  • Execute Gradle tasks (e.g., compile, test) via MCP-compatible clients
  • Retrieve dependency graphs or version information for code analysis

How to use

Tools exposed

  • get_gradle_project_info
  • execute_gradle_task
  • run_gradle_tests

Tested with

VS Code, Claude Desktop

Example client config

{\n  "mcpServers": {\n    "gradle-mcp-server": {\n      "command": "java",\n      "args": [\n        "-jar",\n        "<absolute_path_to_home>/mcp-servers/gradle-mcp-server/gradle-mcp-server-all.jar"\n      ],\n      "env": {},\n      "disabled": false,\n      "autoApprove": []\n    }\n  }\n}

Notes

A Model Context Protocol (MCP) server that allows AI tools to interact with Gradle projects programmatically. It provides a standardized interface for reading build configurations, running tasks, and querying dependencies.

44 stars on GitHub. Last updated 2026-03-14. Licensed MIT.

Use cases

  • Interrogate Gradle build files and project structure from an AI assistant
  • Execute Gradle tasks (e.g., compile, test) via MCP-compatible clients
  • Retrieve dependency graphs or version information for code analysis

Pros

  • Adheres to the MCP standard for tool interoperability
  • Lightweight and open source (Kotlin, 44 stars on GitHub)
  • Enables AI-driven automation of common Gradle workflows

Cons

  • Small community and limited track record (44 stars)
  • Requires an MCP-compatible client to function
  • May not cover all Gradle plugin or edge-case scenarios

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Adheres to the MCP standard for tool interoperability
  • Lightweight and open source (Kotlin, 44 stars on GitHub)
  • Enables AI-driven automation of common Gradle workflows

Cons

  • Small community and limited track record (44 stars)
  • Requires an MCP-compatible client to function
  • May not cover all Gradle plugin or edge-case scenarios
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