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ClaimsProcessingAssistant MCP Server

by chbhargavareddy

ClaimsProcessingAssistant MCP Server is a TypeScript-based backend for managing insurance claims using the MCP protocol. It features advanced validation, document analysis (AI-powered), Supabase integration, and Redis caching.

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What is ClaimsProcessingAssistant MCP Server?

ClaimsProcessingAssistant MCP Server is a robust backend application designed for managing insurance claims using the MCP protocol. It provides a standardized API for claim processing, incorporating features like advanced validation, AI-powered document analysis, and secure authentication.

How to use ClaimsProcessingAssistant MCP Server?

To use the server, first clone the repository and install the dependencies. Configure the environment variables with your Supabase and Redis credentials. Start the services using Docker Compose (if applicable) and then start the server using npm run dev. API endpoints are available for submitting, validating, and retrieving claim information.

Key features of ClaimsProcessingAssistant MCP Server

  • MCP Protocol Implementation

  • Authentication & Authorization

  • Advanced Claim Validation

  • AI Document Analysis

  • Supabase Integration

  • Redis Caching

  • Audit Trail

  • Comprehensive Testing

  • CI/CD Ready

Use cases of ClaimsProcessingAssistant MCP Server

  • Automated insurance claim processing

  • Intelligent document validation for claims

  • Scalable backend for high-volume claim submissions

  • Secure and auditable claim management system

FAQ from ClaimsProcessingAssistant MCP Server

What is the MCP protocol?

The MCP protocol is a standardized claim processing API used for managing insurance claims.

How does the AI document analysis work?

The server integrates with Claude to perform intelligent document validation, extracting relevant information and identifying potential issues.

What databases are supported?

The server uses Supabase, a modern and scalable Postgres backend.

How do I contribute to the project?

Fork the repository, create a branch with your changes, add tests, and submit a pull request. See CONTRIBUTING.md for more details.

Where can I report issues or ask questions?

You can report issues or ask questions by opening an issue on the GitHub repository.