xzq.xu/jvm-mcp-server

Overview

A Python implementation of a Model Context Protocol (MCP) server for the JVM platform. It enables AI models to interact with Java applications and libraries through a standardized protocol.

Best for

Best for
Developers building AI integrations with Java ecosystems

Use cases

• Integrating AI assistants with Java-based services
• Exposing JVM application capabilities to AI models via MCP
• Building AI tooling that can invoke Java methods and access JVM data

How to use

Install

uv pip install jvm-mcp-server

Tools exposed

• jps
• jstack
• jmap
• jcmd
• jstat

Example client config

{\n  "mcpServers": {\n    "jvm-mcp-server": {\n      "command": "uv",\n      "args": [\n        "--directory",\n        "/path/to/jvm-mcp-server",\n        "run",\n        "--env-file",\n        "/path/to/jvm-mcp-server/.env",\n        "jvm-mcp-server"\n      ]\n    }\n  }\n}

Notes

A Python implementation of a Model Context Protocol (MCP) server for the JVM platform. It enables AI models to interact with Java applications and libraries through a standardized protocol.

85 stars on GitHub. Last updated 2026-03-30. Licensed MIT.

Use cases

• Integrating AI assistants with Java-based services
• Exposing JVM application capabilities to AI models via MCP
• Building AI tooling that can invoke Java methods and access JVM data

Pros

• Provides a standardized interface for AI-JVM interaction
• Open source with 85 stars indicating community interest
• Written in Python, making it accessible to a wide developer base

Cons

• Relatively new project with limited adoption
• Requires understanding of both MCP and JVM internals
• Python implementation may introduce overhead for JVM-specific tasks

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