XACHE Crypto Trader Website

Overview

The Goose MCP server is designed to bridge a modern, responsive cryptocurrency trading website—XACHE—with AI assistants such as Claude. By exposing the site's resources and tooling through the Model Context Protocol, Goose allows developers to embed real‑time market data, user account actions, and trading analytics directly into conversational AI workflows. This eliminates the need for separate API endpoints or custom integrations, enabling a seamless experience where an AI can fetch live prices, execute trades, or explain portfolio performance without leaving the chat interface.

At its core, Goose serves static assets (HTML, CSS, JavaScript) while also providing a lightweight API layer that adheres to MCP standards. The server hosts the site’s core features—glassmorphic UI, smooth animations, and a dark theme with accent colors—ensuring that any AI‑driven interaction remains visually consistent with the user experience. Developers benefit from a single deployment that handles both front‑end delivery and AI context provisioning, reducing operational overhead.

Key capabilities include:

• Resource Exposure: The server publishes the website’s static files and dynamic endpoints, allowing an AI to reference or manipulate them within a conversation.
• Prompt Templates: Goose ships with pre‑defined prompts for common trading queries, such as “Show me the latest Bitcoin price” or “Explain my portfolio risk profile.”
• Sampling Configuration: It supports adjustable sampling parameters so that the AI can tailor responses to match the site’s tone—informative yet concise, matching the modern UI’s sleek design.
• Tool Integration: The MCP server exposes browser‑like tools (e.g., click simulation, form submission) that let the AI perform actions on the live site as if a human user were interacting.

Typical use cases span from automated customer support—where an AI can guide users through placing orders—to advanced analytics dashboards that update in real time based on conversational inputs. In a fintech context, Goose empowers developers to create AI‑first trading assistants that can read market feeds, generate alerts, and execute trades while maintaining the visual fidelity of XACHE’s responsive interface.

What sets Goose apart is its tight coupling between a production‑grade web front end and the MCP ecosystem. By packaging both in one server, developers avoid duplication of logic, ensure consistent styling across AI‑generated content and the website, and gain a single point of deployment for both web traffic and AI interactions. This unified approach streamlines development, simplifies maintenance, and delivers a cohesive user experience for traders who rely on AI assistance.