ClaimsProcessingAssistant MCP Server

@chbhargavareddy

Basic information

About ClaimsProcessingAssistant MCP Server

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.

#claims-processing-assistant#mcp-server#insurance-automation

ClaimsProcessingAssistant MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

ClaimsProcessingAssistant MCP Server tools

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Overview

What is ClaimsProcessingAssistant MCP Server?

ClaimsProcessingAssistant MCP Server is a TypeScript-based backend for managing insurance claims using the Model Context Protocol (MCP). It integrates AI-powered document analysis via Claude, Supabase for storage, Redis for caching, and provides secure, scalable claim processing. It is designed for developers building enterprise claim‑handling systems.

How to use ClaimsProcessingAssistant MCP Server?

Clone the repository, install dependencies via npm install, configure the .env file with Supabase and Redis credentials, and start the server with npm run dev. Use endpoints such as POST /api/claims/submit to submit claims, POST /api/claims/validate for validation, and GET /api/claims/:id/status to retrieve claim status.

Key features of ClaimsProcessingAssistant MCP Server

MCP protocol implementation for standardized claim processing
Authentication and authorization for secure access
Advanced claim validation with rules engine
AI‑powered document analysis via Claude
Supabase integration for scalable PostgreSQL backend
Redis caching for fast queries and rate limiting
Full audit trail for claim traceability
Comprehensive testing (unit, integration, e2e)

Use cases of ClaimsProcessingAssistant MCP Server

Submit and validate insurance claims with policy checks
Automate document verification using AI analysis
Track claim lifecycle with detailed audit logs
Retrieve claim statuses and filtered lists efficiently
Deploy as a secure, containerized backend service

Frequently asked questions

What are the prerequisites to run the server?

Node.js v18 or higher, Docker (for local development), a Supabase account or local Postgres instance, and a Redis instance.

How do I run tests and check code quality?

Run `npm run test` for unit/integration tests, `npm run lint` for linting, and `npm run coverage` for test coverage. CI/CD is automated via GitHub Actions.

Where does the server store data?

Claims and user data are stored in Supabase (Postgres). Cached data and rate‑limiting state reside in Redis. Audit trail entries are persisted in the database.

How can I contribute or report issues?

Fork the repository, create a feature branch, add tests, and submit a pull request. For issues or questions, open a GitHub Issue on the repository.

Comments

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