Finance MCP Application

by shankarg-ai

222 downloads
Not rated
GitHub

Description

# Finance MCP Application This application integrates FastMCP and Neo4j MCP to create a finance application for working capital optimization, accounts payable, and accounts receivable management. ## Overview The Finance MCP Application provides a comprehensive solution for: -…

About

# Finance MCP Application This application integrates FastMCP and Neo4j MCP to create a finance application for working capital optimization, accounts payable, and accounts receivable management. ## Overview The Finance MCP Application provides a comprehensive solution for: - Working Capital Optimization - Accounts…

Details

Author
shankarg-ai
Downloads
222
Categories
Finance

- FastMCP server for high-performance financial data processing
- Neo4j graph database to store financial relationships
- Financial optimization models for working capital, AP, and AR
- FastAPI endpoints for interacting with financial models
- Google Agent Dev Kit integration

Clone the repository, install dependencies with pip install -r requirements.txt, set up environment variables in a .env file, and start the application with python src/main.py. After starting, API documentation is available at /docs.

Finance MCP Application

This application integrates FastMCP and Neo4j MCP to create a finance application for working capital optimization, accounts payable, and accounts receivable management.

Overview

The Finance MCP Application provides a comprehensive solution for:
- Working Capital Optimization
- Accounts Payable (AP) Management
- Accounts Receivable (AR) Management
- Cash Flow Forecasting and Analysis

The application uses the MCP (Message Communication Protocol) architecture to enable efficient data exchange and processing.

Features

- FastMCP Server: Implements a high-performance MCP server for financial data processing
- Neo4j Graph Database: Stores financial relationships between entities (customers, suppliers, invoices)
- Financial Optimization Models: Implements mathematical models for working capital, AP, and AR optimization
- API Endpoints: FastAPI for interacting with the financial models
- Google Agent Dev Kit Integration: Embeds the MCP server into Google Agent Dev Kit

Installation

1. Clone this repository
2. Install dependencies:

   pip install -r requirements.txt

3. Set up environment variables in .env file
4. Start the application:
   python src/main.py

Architecture

The application follows a modular architecture:
- src/models/: Financial data models and optimization algorithms
- src/api/: API endpoints and FastMCP server implementation
- src/database/: Neo4j database connection and graph models
- src/utils/: Utility functions and helpers

Usage

See the API documentation at /docs after starting the server for detailed usage instructions.

No reviews yet — be the first

Sign in to leave a review

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.