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.
ClaimsProcessingAssistant MCP Server
@chbhargavareddy
基本情報
ClaimsProcessingAssistant MCP Server について
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.
ClaimsProcessingAssistant MCP Server の設定
ClaimsProcessingAssistant MCP Server のツール
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
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
よくある質問
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.
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