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ClaimsProcessingAssistant MCP Server

Created By
chbhargavareddy7 months ago
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.
Overview

What is ClaimsProcessingAssistant MCP Server?

ClaimsProcessingAssistant MCP Server is a TypeScript-based backend designed for managing insurance claims through the Model Context Protocol (MCP). It integrates with a Supabase database to facilitate AI-driven interactions in insurance claim processing workflows.

How to use ClaimsProcessingAssistant MCP Server?

To use the server, clone the repository, set up your environment with Supabase and Redis, and run the server locally. You can interact with the API endpoints to submit and validate claims.

Key features of ClaimsProcessingAssistant MCP Server?

  • MCP Protocol Implementation: Provides a standardized API for claim processing.
  • Authentication & Authorization: Ensures secure access for users.
  • Advanced Claim Validation: Includes a rules engine for various checks.
  • AI Document Analysis: Utilizes AI for intelligent document validation.
  • Supabase Integration: Offers a scalable Postgres backend.
  • Redis Caching: Enhances performance with fast access to frequent queries.
  • Audit Trail: Maintains full traceability of claim actions.
  • Comprehensive Testing: Includes unit, integration, and end-to-end tests.

Use cases of ClaimsProcessingAssistant MCP Server?

  1. Automating insurance claim submissions.
  2. Validating claims against policy rules and duplicates.
  3. Analyzing documents for compliance and accuracy.

FAQ from ClaimsProcessingAssistant MCP Server?

  • What technologies are used?

The server is built with TypeScript and integrates with Supabase and Redis.

  • Is there a demo available?

You can clone the repository and run it locally to test its features.

  • How can I contribute?

Fork the repository, make your changes, and submit a pull request after testing.

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