App Advisor Mcp
What is App Advisor Mcp
app-advisor-mcp is an MCP Server that provides a Large Language Model (LLM) interface for interacting with the Spring Application Advisor, facilitating application analysis and recommendations.
Use cases
Use cases include analyzing Spring applications for performance optimization, generating recommendations for code improvements, and providing insights into application behavior.
How to use
To use app-advisor-mcp, first install the Advisor CLI on your machine. Then, build the server using the provided Maven command and configure it with the necessary settings for your MCP Client.
Key features
Key features include integration with Spring Application Advisor, support for LLM interactions, and customizable server configurations to suit different environments.
Where to use
app-advisor-mcp can be used in software development environments, particularly for applications built with Spring, to enhance application performance and reliability through intelligent analysis.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is App Advisor Mcp
app-advisor-mcp is an MCP Server that provides a Large Language Model (LLM) interface for interacting with the Spring Application Advisor, facilitating application analysis and recommendations.
Use cases
Use cases include analyzing Spring applications for performance optimization, generating recommendations for code improvements, and providing insights into application behavior.
How to use
To use app-advisor-mcp, first install the Advisor CLI on your machine. Then, build the server using the provided Maven command and configure it with the necessary settings for your MCP Client.
Key features
Key features include integration with Spring Application Advisor, support for LLM interactions, and customizable server configurations to suit different environments.
Where to use
app-advisor-mcp can be used in software development environments, particularly for applications built with Spring, to enhance application performance and reliability through intelligent analysis.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Spring Application Advisor MCP Server
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
Prerequisites
You need to install the Advisor CLI in the path on your machine.
Building the Server
./mvnw clean package
Configuration
You 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" } } }
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
