Finance MCP Application
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
Jump to
- 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 file4. 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.
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.
