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.
@chbhargavareddy
Basic information
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.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
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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.
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.
Node.js v18 or higher, Docker (for local development), a Supabase account or local Postgres instance, and a Redis instance.
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.
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.
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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