IlyaGulya/gradle-mcp-server
by Various
A Model Context Protocol (MCP) server to enable AI tools to interact with Gradle projects programmatically.
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_infoexecute_gradle_taskrun_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
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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