Mifosx
This project provides the Model Context Protocol (MCP) service for Apache Fineract®, supporting implementations in Python, Java, and Node.js, enabling AI agents to access financial data and operations. It includes a debugging tool, multi - language implementations, and standardized API interfaces.
2.5 points
7.8K

What is the MCP server?

The MCP server is middleware that connects AI systems with the Apache Fineract financial platform, providing a secure API access channel through the standardized fineract:// protocol URI. It supports implementations in multiple programming languages and has built - in data validation and permission control.

How to use the MCP server?

Simply select any implementation version in Python, Java, or Node.js, configure the connection information of the Fineract instance, and you can start using it through the MCP Inspector tool or by directly calling the API.

Use cases

It is suitable for scenarios where AI capabilities need to be integrated into financial systems, such as fintech applications like intelligent customer analysis, automated loan approval, and risk prediction.

Main Features

Multi - language Support
Provides implementation versions in Python (Flask), Java (Quarkus), and Node.js to meet the needs of different technology stacks.
Standardized API
Access financial data through the unified fineract:// resource identifier, shielding the differences of underlying APIs.
Developer Tools
Comes with the MCP Inspector debugging tool, supporting two communication protocols: STDIO and SSE.
Core Financial Resources
Out - of - the - box client/loan management interfaces, including operations such as querying, creating, and updating status.
Advantages
Unified access layer: Provides a consistent API interface for different Fineract versions.
Security isolation: AI agents do not need to directly access production environment credentials.
Plug - and - play: Presets common financial operation interfaces for quick integration of AI capabilities.
Limitations
Some functions in the Java version are inconsistent with other implementations (e.g., create_client is only supported in Node and Python).
Requires basic operation and maintenance capabilities for server deployment and maintenance.
Currently only supports basic financial entity operations, and complex business requires secondary development.

How to Use

Select an implementation version
Select the implementation in Python, Java, or Node.js according to your technology stack.
Configure environment variables
Set the BASE_URL, AUTH_TOKEN, and TENANT_ID of the Fineract instance.
Start the server
Run the startup command for the corresponding language (see the commands for each language below).
Connect to the debugging tool
Use the MCP Inspector for interface testing and debugging.

Usage Examples

Customer information query
The AI system needs to obtain detailed information of a specific customer for credit evaluation.
Batch loan status check
The risk monitoring system needs to regularly check overdue loans.
Intelligent customer search
The customer service robot performs a fuzzy search for customer records based on the information provided by the user.

Frequently Asked Questions

Are the functions of different language versions completely consistent?
How to solve the environment variable prefix problem in the Java version?
Does it support the Windows system?
Deployment suggestions for the production environment

Related Resources

Apache Fineract official website
Official documentation for the open - source core banking system
MCP protocol specification
Technical standard documentation for the Model Context Protocol
GitHub repository
Project source code and issue tracking
Quarkus implementation guide
Detailed development documentation for the Java (Quarkus) version

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
8.7K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
9.3K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.2K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
9.5K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
7.5K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.6K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
6.7K
4 points
U
Uniprof
Uniprof is a tool that simplifies CPU performance analysis. It supports multiple programming languages and runtimes, does not require code modification or additional dependencies, and can perform one-click performance profiling and hotspot analysis through Docker containers or the host mode.
TypeScript
7.2K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
21.6K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
31.1K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
61.9K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
18.9K
4.5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
58.4K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
28.0K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
18.8K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
42.2K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase