Spring Application Advisor MCP server

This Spring Application Advisor MCP Server provides an LLM interface for interacting with Spring Application Advisor. Built with the Spring AI MCP project, it enables natural language interaction with application analysis tools.

Installation

Prerequisites

Before installing the MCP server, you need to install the Advisor CLI in your system path:

1. Download and install the Advisor CLI
2. Ensure it's properly configured and accessible from your terminal

Building the Server

Build the server using Maven:

./mvnw clean package

This will create an executable JAR file in the target directory.

Configuration and Usage

Setting Up the Server

To use the server with your MCP client, you need to provide configuration details. Below is an example configuration for a claude_desktop_config.json file:

{
  "mcpServers": {
    "app-advisor": {
      "command": "java",
      "args": [
        "-Dspring.ai.mcp.server.transport=stdio", 
        "-Dlogging.file.name=app-advisor-mcp.log", 
        "-jar",
        "/Users/pcorby/Projects/OpenAI/app-advisor-mcp/target/app-advisor-mcp-0.0.1-SNAPSHOT.jar",
        "--server.port=8041"
      ],
      "env": {
        "ADVISOR_SERVER": "http://localhost:8080"
      }
    }
  }
}

Important Configuration Parameters

• Transport: Set to stdio for standard input/output communication
• Logging: Configured with -Dlogging.file.name=app-advisor-mcp.log
• Server Port: Default set to 8041, can be adjusted as needed
• ADVISOR_SERVER: Environment variable pointing to your running Advisor instance

Running the Server

After configuration, your MCP client will manage the server process automatically when queries are sent to it. Make sure your Spring Application Advisor instance is running at the URL specified in the ADVISOR_SERVER environment variable.

Connecting with MCP Clients

You can interact with the server using any MCP-compatible client. The server will process natural language queries about your applications and return responses based on the Spring Application Advisor analysis.

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "app-advisor" '{"command":"java","args":["-Dspring.ai.mcp.server.transport=stdio","-Dlogging.file.name=app-advisor-mcp.log","-jar","/Users/pcorby/Projects/OpenAI/app-advisor-mcp/target/app-advisor-mcp-0.0.1-SNAPSHOT.jar","--server.port=8041"],"env":{"ADVISOR_SERVER":"http://localhost:8080"}}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "app-advisor": {
            "command": "java",
            "args": [
                "-Dspring.ai.mcp.server.transport=stdio",
                "-Dlogging.file.name=app-advisor-mcp.log",
                "-jar",
                "/Users/pcorby/Projects/OpenAI/app-advisor-mcp/target/app-advisor-mcp-0.0.1-SNAPSHOT.jar",
                "--server.port=8041"
            ],
            "env": {
                "ADVISOR_SERVER": "http://localhost:8080"
            }
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

2. Add this to your configuration file:

{
    "mcpServers": {
        "app-advisor": {
            "command": "java",
            "args": [
                "-Dspring.ai.mcp.server.transport=stdio",
                "-Dlogging.file.name=app-advisor-mcp.log",
                "-jar",
                "/Users/pcorby/Projects/OpenAI/app-advisor-mcp/target/app-advisor-mcp-0.0.1-SNAPSHOT.jar",
                "--server.port=8041"
            ],
            "env": {
                "ADVISOR_SERVER": "http://localhost:8080"
            }
        }
    }
}

3. Restart Claude Desktop for the changes to take effect