Mifos X - AI - Model Context Protocol (MCP) for Apache Fineract®
by openMF
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.
Last updated: N/A
What is Mifos X - AI - Model Context Protocol (MCP) for Apache Fineract®?
The Mifos X MCP server is a Model Context Protocol (MCP) server designed to allow AI agents to interact with the Apache Fineract API. It provides a standardized way to access financial data and operations within a Fineract instance.
How to use Mifos X - AI - Model Context Protocol (MCP) for Apache Fineract®?
To use the server, choose an implementation (Python, Java, or Node.js), install the necessary prerequisites, configure the required environment variables (FINERACT_BASE_URL, FINERACT_BASIC_AUTH_TOKEN, FINERACT_TENANT_ID), and run the server. You can then use the MCP Inspector to test and debug your server.
Key features of Mifos X - AI - Model Context Protocol (MCP) for Apache Fineract®
Standardized API access via
fineract://URIsMCP-compliant with STDIO/SSE transports
Environment-agnostic configuration
Multiple language implementations (Python, Java, Node.js)
Provides core resources for accessing clients and loans
Use cases of Mifos X - AI - Model Context Protocol (MCP) for Apache Fineract®
Enabling AI agents to access financial data
Automating financial operations through AI
Integrating AI models with Fineract
Building AI-powered financial applications
FAQ from Mifos X - AI - Model Context Protocol (MCP) for Apache Fineract®
What environment variables are required?
What environment variables are required?
FINERACT_BASE_URL, FINERACT_BASIC_AUTH_TOKEN, and FINERACT_TENANT_ID are required. Java uses MIFOSX_ prefixed variables.
How do I test the server?
How do I test the server?
Use the MCP Inspector by running npx @modelcontextprotocol/inspector and connecting to the server via STDIO.
What resources are available?
What resources are available?
Core resources include fineract://clients, fineract://clients/{clientId}, fineract://loans, and fineract://loans/{loanId}. Tools include search_clients, create_client, and update_loan_status.
How do I contribute to the project?
How do I contribute to the project?
Modify the appropriate files for your chosen language: python/app.py and server.js for Python, src/main/java/org/mifos/community/ai/... for Java, and nodejs/src/server.js for Node.js.
Where can I find more information?
Where can I find more information?
Visit the Apache Fineract Community website (https://community.apache.org/) or the MCP Specification website (https://modelcontextprotocol.org).