Gorela Developer Site MCP

Overview

The Gorela Developer MCP Server bridges the gap between AI assistants and the proprietary API documentation of Gorela, a delivery‑intermediary platform provided by BAROGO. By exposing the full set of Gorela’s REST endpoints, authentication schemes, and data contracts through the Model Context Protocol (MCP), developers can embed up‑to‑date API knowledge directly into their AI‑augmented workflows. Instead of manually browsing documentation or copying snippets, an assistant can fetch the exact resource description on demand and answer natural‑language queries about request payloads, headers, or response formats.

What this server solves is the classic “documentation latency” problem that plagues rapid‑iteration teams. When a new feature requires calling the Order Creation endpoint, a developer typically searches the web, opens the Gorela portal, and parses the spec. The MCP server eliminates that friction by serving a parsed, machine‑readable version of the same documentation. The AI can therefore respond instantly to questions like “What headers are required for the order‑accept API?” or “Show me a minimal payload for a flexible‑rate delivery request.” The result is a significant reduction in context switching and an increase in developer confidence when integrating with Gorela.

Key capabilities of the server include:

• Secure, on‑demand retrieval of any Gorela API path from the official documentation site.
• Contextual enrichment for AI models, allowing them to reference exact endpoint definitions without hard‑coding examples.
• Automatic log collection in a predictable file, simplifying debugging and audit trails.
• Zero‑configuration integration with Cursor AI IDE: a single MCP server entry in triggers the server on demand, freeing developers from manual start‑up steps.

Typical use cases span the full development lifecycle. During feature design, a team can ask the assistant for “differences between fixed‑rate and flexible‑rate orders,” receiving a concise comparison drawn from the live spec. When writing unit tests, developers can request “sample request/response for order lookup” and instantly generate test stubs. In production support, the same assistant can explain “why a 401 error occurred” by referencing the authentication requirements embedded in the MCP context.

Integration with AI workflows is straightforward: once registered, the server becomes a first‑class resource in Cursor’s chat interface. A simple command followed by a natural‑language prompt unlocks the documentation layer, turning the IDE into an interactive knowledge base. The assistant can even generate code snippets, suggest header values, or highlight required query parameters—all backed by the authoritative Gorela spec.

In summary, the Gorela Developer MCP Server transforms static API documentation into a dynamic, AI‑friendly resource. By automating context delivery, enforcing security, and providing seamless IDE integration, it delivers tangible productivity gains for teams building on the Gorela delivery platform.