ClaimsProcessingAssistant MCP Server
About
This is a Model Context Protocol (MCP) server that provides claims processing capabilities through integration with a Supabase database. The server enables AI assistants to interact with insurance claim processing workflows and data through natural language.
Details
- License
- MIT
Explore
- 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.
---
- Node.js (v18+ recommended)
- Docker (for local development)
- Supabase account (or local Postgres)
- Redis instance
bash
npm run test
``
---
- API Endpoints: See API Documentation (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=...`
---

🚀 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
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
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