Mifos X - AI - Model Context Protocol (MCP)

Use

In your AI agent tool (ChatGPT, Google AI Studio, Claude Desktop) add this MCP configuration

{
    "mcpServers": {
        "mifosx": {
            "command": "jbang",
            "args": ["--quiet",
                    "org.mifos.community.ai.mcp:mcp-server:1.0.0-SNAPSHOT:runner"],
             "env":{
				"MIFOSX_BASE_URL":"",
				"MIFOSX_BASIC_AUTH_TOKEN":"",
				"MIFOS_TENANT_ID":""
             }
        }
    }
}

Introduction

This project uses Quarkus, the Supersonic Subatomic Java Framework.

If you want to learn more about Quarkus, please visit its website: https://quarkus.io/.

Running the application in dev mode

You can run your application in dev mode that enables live coding using:

./mvnw quarkus:dev

NOTE: Quarkus now ships with a Dev UI, which is available in dev mode only at http://localhost:8080/q/dev/.

Packaging and running the application

The application can be packaged using:

./mvnw package

It produces the quarkus-run.jar file in the target/quarkus-app/ directory. Be aware that it’s not an über-jar as the dependencies are copied into the target/quarkus-app/lib/ directory.

The application is now runnable using java -jar target/quarkus-app/quarkus-run.jar.

If you want to build an über-jar, execute the following command:

./mvnw package -Dquarkus.package.jar.type=uber-jar

The application, packaged as an über-jar, is now runnable using java -jar target/*-runner.jar.

Creating a native executable

You can create a native executable using:

./mvnw package -Dnative

Or, if you don't have GraalVM installed, you can run the native executable build in a container using:

./mvnw package -Dnative -Dquarkus.native.container-build=true

You can then execute your native executable with: ./target/mcp-server-1.0.0-SNAPSHOT-runner

If you want to learn more about building native executables, please consult https://quarkus.io/guides/maven-tooling.

Related Guides

• Qute (guide): Offer templating support for web, email, etc in a build time, type-safe way
• Model Context Protocol (MCP) Server for standard input/output (stdio) (guide): This extension enables developers to implement the MCP server features easily using stanard input/output (stdio).

MCP Developer Tools

For development and testing, you can use the MCP Inspector tool:

npx @modelcontextprotocol/inspector

This starts a local web server where you can test your MCP server and you can connect it using STDIO or SSE