mcp-server

anandh007/mcp-server

3.1

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The Model Context Protocol (MCP) server is a specialized server designed to facilitate communication and data exchange between various machine learning models and applications.

🚀 MCP Server – Crypto Market Data Platform

A FastAPI-based crypto pricing, OHLCV data, and WebSocket live updates server.

📌 Overview

MCP Server is a lightweight crypto market data backend built using FastAPI, Redis, and CCXT. It supports:

  • 📈 Live ticker data
  • 🕯️ OHLCV (candlestick) historical data
  • 🔌 WebSocket real-time updates
  • ⚡ Redis caching for high performance
  • 🧪 Fully tested using pytest (10/10 tests passing)

🔧 Tech Stack

  • Python 3.11
  • FastAPI
  • CCXT (Async Support)
  • Redis
  • WebSockets
  • pytest

📂 Project Structure

mcp-server/
│
├── app/
│   ├── main.py
│   ├── routes.py
│   ├── exchange_client.py
│   ├── broadcaster.py
│   ├── cache.py
│   ├── config.py
│
├── tests/
├── README.md
└── requirements.txt

▶️ Running the Project

1️⃣ Install Dependencies

pip install -r requirements.txt

2️⃣ Start Redis

redis-server

3️⃣ Run FastAPI Server

uvicorn app.main:app --reload

🧪 Running Tests

All tests must pass (10 passed ✔️)

pytest -q

📡 API Endpoints

✅ Health Check

GET /api/health

📈 Get Crypto Ticker

GET /api/ticker?exchange=binance&symbol=BTC/USDT

🕯️ Get OHLCV Candles

GET /api/ohlcv?exchange=binance&symbol=BTC/USDT&timeframe=1h&limit=5

🔌 WebSocket Live Updates

/api/ws

📝 Features

  1. Real-time market data broadcasting
  2. Rate-limited exchange calls with retries
  3. Automatic caching using Redis
  4. Graceful WebSocket connection handling
  5. Fully async architecture
  6. 10 passing unit tests using pytest
  7. Lightweight & easy to deploy backend