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
基本信息
关于 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.
ClaimsProcessingAssistant MCP Server 配置
ClaimsProcessingAssistant MCP Server 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
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
常见问题
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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