This MCP Server provides an LLM interface for interacting with Spring Application Advisor. It was built with the Spring AI MCP project, based on an implementation by @Albertoimpl
You need to install the Advisor CLI in the path on your machine.
./mvnw clean packageYou will need to supply a configuration for the server for your MCP Client. Here's what the configuration looks like for claude_desktop_config.json:
{
"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"
}
}
}