What is Mcp Mifosx

mcp-mifosx is a Model Context Protocol (MCP) designed specifically for Mifos X, which is built on the Apache Fineract platform. It facilitates the integration of AI models with financial services applications.

Use cases

Use cases for mcp-mifosx include enhancing decision-making processes in microfinance, automating customer interactions through AI, and improving financial product offerings by integrating advanced analytics.

How to use

To use mcp-mifosx, developers can utilize the MCP Inspector tool by running the command ‘npx @modelcontextprotocol/inspector’. This command starts a local web server for testing the MCP server, allowing connections via STDIO or SSE.

Key features

Key features of mcp-mifosx include seamless integration with Mifos X, support for AI model deployment, and a user-friendly testing environment through the MCP Inspector tool.

Where to use

mcp-mifosx is primarily used in the financial services sector, particularly in microfinance institutions and organizations leveraging Mifos X for their financial applications.

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.

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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.

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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
   

   Note for zsh users: If you’re using zsh, be sure to quote extras to avoid shell expansion errors:

   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
   

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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).

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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)

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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

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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.

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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.

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Contact

• Apache Fineract Community: https://community.apache.org/
• MCP Specification: https://modelcontextprotocol.org

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Guides

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

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Key Features:

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