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Mifos X - AI - Model Context Protocol (MCP) for Apache Fineract® logo

Mifos X - AI - Model Context Protocol (MCP) for Apache Fineract®

by openMF

Finance/PaymentsFineractAPIFinancial Data

This project provides Model Context Protocol (MCP) servers for interacting with the Apache Fineract API, enabling AI agents to access financial data and operations. Implementations are available in Python, Java (Quarkus), and Node.js.

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Mifos X - AI - Model Context Protocol (MCP) for Apache Fineract®

This project provides Model Context Protocol (MCP) servers for interacting with the Apache Fineract API, enabling AI agents to access financial data and operations. Implementations are available in Python, Java (Quarkus), and Node.js.

MCP Developer Tools

Use the MCP Inspector to test and debug your server:

npx @modelcontextprotocol/inspector

This starts a local web UI to connect to your MCP server via STDIO or SSE.

Getting Started

1. Choose Your Implementation

Python (Flask)

Prerequisites: Python 3.8+, flask, mcp.server.fastmcp

Steps:

  1. Install dependencies: 
    pip install mcp[cli] uv flask
  2. Run the server: 
    mcp dev app.py
Java (Quarkus)

Prerequisites: JDK 17+, Maven

Steps:

  1. Configure environment variables in your shell or IDE: 
    export MIFOSX_BASE_URL="https://your-fineract-instance"
export MIFOSX_BASIC_AUTH_TOKEN="your_api_token"
export MIFOS_TENANT_ID="default"
  2. Run via JBang (for quick execution): 
    jbang --quiet org.mifos.community.ai:mcp-server:1.0.0-SNAPSHOT:runner
  3. (Optional) Build a native executable: 
    ./mvnw package -Dnative
./target/mcp-server-1.0.0-SNAPSHOT-runner
Node.js

Prerequisites: Node.js 16+, npm

Steps:

  1. Install dependencies: 
    cd nodejs && npm install
  2. Configure environment variables in .env: 
    cp .env.example .env
  3. Run the server: 
    npm run dev
  4. Test with the built-in inspect script: 
    npm run inspect

Configuration

All implementations require the following environment variables:

| Variable | Description | |------------------------|--------------------------------------| | FINERACT_BASE_URL | Base URL of your Fineract instance | | FINERACT_BASIC_AUTH_TOKEN | API authentication token | | FINERACT_TENANT_ID | Tenant identifier (default: default) |

Note: Java uses MIFOSX_ prefixed variables (e.g., MIFOSX_BASE_URL).

Available Resources

The MCP server exposes these resources:

Core Resources

  • fineract://clients
    List all clients
  • fineract://clients/{clientId}
    Get details for a specific client
  • fineract://loans
    List all loans
  • fineract://loans/{loanId}
    Get details for a specific loan

Tools

  • search_clients
    Search clients by name/attributes
  • create_client
    Create a new client (Node.js/Python only)
  • update_loan_status
    Update loan status (Java/Python only)

Building Native Executables (Java Only)

For Java (Quarkus), create a native executable:

./mvnw package -Dnative -Dquarkus.native.container-build=true
./target/mcp-server-1.0.0-SNAPSHOT-runner

Testing with MCP Inspector

  1. Start your MCP server (Python/Java/Node.js).
  2. Run the inspector: 
    npx @modelcontextprotocol/inspector
  3. Connect to the server using the STDIO transport.

Contributing

  • Python: Modify python/app.py and server.js for new resources.
  • Java: Extend src/main/java/org/mifos/community/ai/... for new endpoints.
  • Node.js: Update nodejs/src/server.js and add Zod schemas for validation.

Contact

Guides

  • Java/Quarkus: Quarkus MCP Guide
  • Node.js: Use npm run inspect for live reloading
  • Python: Run with python app.py and configure .env

Key Features:

  • Standardized API access via fineract:// URIs
  • MCP-compliant with STDIO/SSE transports
  • Environment-agnostic configuration