Content
# ClaimsProcessingAssistant MCP Server

## 🚀 Project Overview
ClaimsProcessingAssistant MCP Server is a robust, TypeScript-based backend for managing insurance claims using the MCP protocol. It features advanced validation, document analysis (AI-powered), Supabase integration, Redis caching, and comprehensive error handling—designed for scalability, security, and extensibility.
---
## ✨ Features
- **MCP Protocol Implementation**: Standardized claim processing API.
- **Authentication & Authorization**: Secure access for users and services.
- **Advanced Claim Validation**: Rules engine for policy, duplicate, high-value, and document checks.
- **AI Document Analysis**: Integrates with Claude for intelligent document validation.
- **Supabase Integration**: Modern, scalable Postgres backend.
- **Redis Caching**: Fast access to frequent queries and rate limiting.
- **Audit Trail**: Full traceability of claim actions.
- **Comprehensive Testing**: Unit, integration, and end-to-end tests.
- **CI/CD Ready**: GitHub Actions for automated testing and deployment.
---
## 🏗️ Architecture
```mermaid
flowchart TD
A[User/API Client] -->|Submit Claim| B[MCP Server]
B --> C{Authentication}
C -- Valid --> D[Validation Engine]
C -- Invalid --> Z1[Auth Error]
D --> E{Validation Rules}
E -- Pass --> F[Store in DB]
E -- Fail --> Z2[Validation Errors]
F --> G[Workflow Engine]
G --> H[AI Doc Validation]
H --> I[Audit Trail]
I --> J[Update Status]
J --> K[Cache Results]
K --> L[Return Response]
L -->|Get Status/List| M[Read Cache/DB]
M --> L
L -->|Error| Z3[Error Reporting]
```
---
## 📦 Project Structure
```
ClaimsProcessingAssistant-MCP/
├── src/
│ ├── auth/ # Authentication logic
│ ├── config/ # Configuration and environment
│ ├── functions/ # MCP protocol functions (submit, validate, etc.)
│ ├── services/ # Business logic, cache, AI, rate limiting
│ ├── mcp/ # Protocol handler, function registry
│ ├── validation/ # Validation rules and helpers
│ └── server/ # Server entrypoint
├── __tests__/ # Unit and integration tests
├── scripts/ # Utility scripts
├── dist/ # Compiled output
├── Dockerfile
├── package.json
├── README.md
└── images/
└── workflow-diagram.png
```
---
## ⚡ Getting Started
### Prerequisites
- Node.js (v18+ recommended)
- Docker (for local development)
- Supabase account (or local Postgres)
- Redis instance
### Setup
```bash
git clone https://github.com/your-org/ClaimsProcessingAssistant-MCP.git
cd ClaimsProcessingAssistant-MCP
npm install
cp .env.example .env
# Edit .env with your Supabase/Redis credentials
```
### Running Locally
```bash
# Start services (if using Docker)
docker-compose up -d
# Start the server
npm run dev
```
### Running Tests
```bash
npm run test
```
---
## 🛠️ Usage
- **API Endpoints**: See [API Documentation](./docs/API.md) (or describe main endpoints here)
- **Submitting a Claim**: `POST /api/claims/submit`
- **Validating a Claim**: `POST /api/claims/validate`
- **Getting Claim Status**: `GET /api/claims/:id/status`
- **Listing Claims**: `GET /api/claims?filter=...`
---
## 🧪 Testing & Quality
- **Unit tests**: `npm run test`
- **Linting**: `npm run lint`
- **Coverage**: `npm run coverage`
- **CI/CD**: Automated via GitHub Actions
---
## 🤝 Contributing
1. Fork the repo and create your branch (`git checkout -b feature/your-feature`)
2. Make your changes and add tests
3. Run lint and tests before committing
4. Submit a pull request!
See [CONTRIBUTING.md](./CONTRIBUTING.md) for more details.
---
## 📝 License
MIT License. See [LICENSE](./LICENSE) for details.
---
## 🙋 FAQ / Support
- **Issues**: [GitHub Issues](https://github.com/your-org/ClaimsProcessingAssistant-MCP/issues)
- **Contact**: Open an issue or PR for questions and suggestions.
---
**Happy Claim Processing!**
> _Tip: Update links, diagram paths, and add badges (build, coverage, etc.) as needed for your repo._
Connection Info
You Might Also Like
markitdown
MarkItDown-MCP is a lightweight server for converting URIs to Markdown.
markitdown
Python tool for converting files and office documents to Markdown.
Filesystem
Node.js MCP Server for filesystem operations with dynamic access control.
TrendRadar
TrendRadar: Your hotspot assistant for real news in just 30 seconds.
mempalace
The highest-scoring AI memory system ever benchmarked. And it's free.
mempalace
The highest-scoring AI memory system ever benchmarked. And it's free.