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

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

This project provides a Model Context Protocol (MCP) server for the Mifos X Ecosystem, enabling AI agents to access financial data and operations from the Apache Fineract banking backend. It is a standalone, stateless integration tier that works with any MCP-compatible client, with implementations available in Go (102 tools), Java (38 tools), Python (49 tools), and Rust (89 tools).

How to use Mifos X - AI - Model Context Protocol (MCP) for Apache Fineract®?

Choose an implementation, configure environment variables (copy .env.example and set the Fineract base URL, authentication token, and tenant ID), then build and run the server. For example, with Go: cd go && go build -o mcp-server && ./mcp-server. Use the MCP Inspector (npx @modelcontextprotocol/inspector <command>) to test interactively.

Key features of Mifos X - AI - Model Context Protocol (MCP) for Apache Fineract®?

• Multi-language implementations (Go, Java, Python, Rust)
• Stateless design with no user data storage
• RBAC enforced via Fineract’s native permissions
• Data sovereignty – the server makes no external calls
• Universal compatibility with any MCP client
• Up to 102 typed tools in the Go implementation

Use cases of Mifos X - AI - Model Context Protocol (MCP) for Apache Fineract®?

• Automating client onboarding and identity management
• Managing loan lifecycles (application, approval, disbursement, repayment)
• Handling savings accounts (creation, activation, deposits, withdrawals)
• Performing bulk operations on groups and centers
• Generating reports and documents