Refund Protect MCP Server

Refund Protect MCP Server – Overview

The Refund Protect MCP Server gives AI assistants a seamless, natural‑language interface to the full range of operations exposed by the Refund Protect API. By packaging the API’s endpoints into MCP‑compliant tools, developers can ask an LLM to create flight quotes, launch transactions, retrieve status details, or cancel bookings without writing any HTTP request code. The server translates these conversational commands into authenticated API calls, returning structured JSON that the assistant can immediately consume or display.

This capability is particularly valuable for developers building travel‑related applications, customer support bots, or internal workflow automators. Instead of manually wiring SDKs or writing repetitive CRUD logic, a developer can prototype and iterate by simply typing prompts such as “Give me a Refund Protect quote for my flight July 15 which I paid 540 EUR.” The assistant handles authentication, parameter mapping, and error handling behind the scenes. This reduces boilerplate, accelerates feature delivery, and allows non‑technical stakeholders to test integrations through chat.

Key features of the server include:

• Full API coverage – every endpoint supported by the official Refund Protect API is exposed, from quote creation to transaction cancellation.
• Context‑aware prompts – the MCP framework preserves conversational state, so subsequent queries can reference earlier results (e.g., using a generated quote ID).
• Auto‑generation of integration code – prompts can request ready‑to‑install JavaScript widgets, React components, or server‑side services in languages such as .NET, enabling rapid embedding into existing codebases.
• Multi‑agent compatibility – the server is configured via a simple JSON snippet and works with Claude Desktop, Cursor IDE, and any future MCP‑enabled LLMs.

Typical use cases include:

• Travel agencies that need to offer instant insurance quotes while booking flights, using the assistant to pull quote data and embed widgets on their booking pages.
• Customer support teams that can issue refunds or cancellations directly from a chat interface, reducing ticket volume and response time.
• Product managers who want to prototype insurance flows in a sandbox environment before committing to full integration.

Integration into AI workflows is straightforward: once the server is added to an agent’s configuration, the assistant can invoke MCP tools through natural language. The LLM interprets user intent, constructs the appropriate tool call, and returns a polished response that can be displayed in chat or passed to downstream systems. This tight coupling of conversational AI with structured API access eliminates the friction traditionally associated with third‑party service integration, making the Refund Protect MCP Server a powerful asset for any developer looking to embed travel‑insurance functionality quickly and reliably.