Crypto Exchange MCP Server

The Crypto Exchange MCP server bridges AI assistants with real‑time cryptocurrency market data by exposing a concise set of public API endpoints from leading exchanges such as Bybit, OKX, and Binance. Instead of writing custom HTTP clients or parsing raw JSON, developers can simply call high‑level tools—like “get spot price” or “fetch order book”—and let the MCP server handle all networking, authentication, and data transformation. This eliminates boilerplate code, reduces latency, and ensures that the assistant always receives fresh, consistent data.

At its core, the server offers five key capabilities:

• Real‑time price retrieval for spot and linear markets, allowing assistants to answer “What’s the current BTC‑USD price?” instantly.
• Order book access that returns depth information for any trading pair, enabling advanced analytical queries such as liquidity assessment or support‑resistance estimation.
• Funding rate monitoring for perpetual contracts, giving users up‑to‑date insight into carry costs and potential arbitrage opportunities.
• Open interest tracking, which shows the total number of outstanding contracts—a critical metric for gauging market sentiment.
• Price‑change percentage calculations that automatically compute daily or hourly swings, simplifying trend analysis.

These features are wrapped in a lightweight Python implementation that can be launched via a simple command line. Once running, any MCP‑compatible client (Claude Desktop, Claude API, or other AI assistants) can declare the server in its configuration and invoke the tools directly. The assistant then receives a structured response (JSON) that can be parsed or embedded into a conversation, making it trivial to build chatbots that provide live market updates, trading signals, or portfolio monitoring.

Typical use cases include:

• Real‑time market dashboards where an assistant continuously feeds price and order‑book snapshots to a user’s interface.
• Automated trading support that calculates funding rates and open interest before suggesting a position size or hedging strategy.
• Educational tools that explain price movements by referencing live data, enhancing the learning experience for newcomers.
• Risk management systems that monitor funding rates and open interest to detect unusual market activity.

Because the MCP server abstracts away the intricacies of each exchange’s API, developers benefit from a single, unified interface that scales across multiple platforms. This standardization simplifies integration, reduces maintenance overhead, and allows AI assistants to focus on higher‑level reasoning rather than low‑level data fetching.