EGX Data MCP Server

Overview

The EGX‑Data‑MCP‑Server is a dedicated Model Context Protocol (MCP) service that exposes real‑time and historical data for the Egyptian Exchange (EGX). It transforms raw market feeds into a set of machine‑readable resources and tools that AI assistants can consume directly, enabling intelligent trading support without the need for custom API wrappers. By centralizing EGX data behind a standard MCP interface, developers can integrate price streams, volume metrics, and corporate actions into conversational agents or workflow automations with minimal friction.

At its core, the server offers a collection of resources that represent individual securities and market indices. Each resource exposes endpoints for retrieving the latest ticker, historical candles, and corporate events such as dividends or splits. The MCP tooling layer then provides tool definitions that allow an assistant to perform actions like “fetch the 30‑day moving average for a given ticker” or “list all companies in the EGX‑100 index.” These tools are exposed through a simple JSON schema, so any MCP‑compatible client can discover and invoke them dynamically. The server also supports prompt templates that preconfigure query patterns, making it easy to generate consistent requests for common analytical tasks.

Developers benefit from a plug‑and‑play integration: once the server is running, an AI assistant can add it to its environment via a single JSON configuration block. The MCP protocol handles authentication, rate limiting, and error handling behind the scenes, freeing developers from boilerplate code. Because the server is written in Python and leverages async HTTP clients, it scales to handle multiple concurrent requests—ideal for high‑frequency trading bots or portfolio dashboards that rely on rapid data retrieval.

Real‑world scenarios include automated risk assessment, where an assistant pulls the latest volatility metrics for a portfolio of EGX stocks and calculates VaR. Another use case is compliance monitoring, where the server streams corporate announcements and triggers alerts when a listed company files new disclosures. Financial analysts can also embed the server into notebook workflows, calling MCP tools to generate on‑the‑fly visualizations or perform sentiment analysis on press releases—all within a single conversational context.

What sets the EGX‑Data‑MCP‑Server apart is its focus on the Egyptian market, a region often underserved by generic financial data providers. By offering a ready‑made MCP interface tailored to EGX, it lowers the entry barrier for AI developers targeting Middle Eastern markets. The combination of a lightweight Python implementation, full MCP compliance, and domain‑specific data makes it a powerful addition to any AI‑driven finance stack.