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Cryptocurrency Technical Analysis
Provides real-time cryptocurrency technical analysis through FastMCP, calculating 12 and 26-period EMAs for Binance trading pairs using MongoDB-stored OHLCV data and Server-Sent Events.
Last updated: 1/27/2026
README
# LumiFAI MCP Technical Analysis Server A FastMCP server that provides technical analysis tools for cryptocurrency trading data, specifically focusing on Exponential Moving Average (EMA) calculations for Binance pairs. The server defaults to SSE transport layer for communication. ## Features - Calculate EMAs (12 and 26 periods) for cryptocurrency price data - Real-time date and time information - MongoDB integration for data storage and retrieval (Fetches data from DB resource which contains OHLCV data) - SSE (Server-Sent Events) transport support ## Prerequisites - Python 3.13 or higher - MongoDB instance - [uv](https://github.com/astral-sh/uv) package manager ## Installation 1. Clone the repository: ```bash git clone <repository-url> cd lumifai-mcp-ta ``` 2. Create and activate a virtual environment and install dependencies: ```bash uv sync ``` 3. Set up environment variables: Create a `.env` file in the root directory with the following content: ```env MONGODB_URI=your_mongodb_connection_string ``` ## Usage Run the server: ```bash uv run mcp-server.py ``` ### Available Tools 1. `get_emas(agent_name: str, time_ago: str, interval: int, interval_frequency: str)` - Calculates EMAs for specified cryptocurrency trading pairs - Returns a DataFrame with fast (12-period) and slow (26-period) EMAs 2. `get_date_time()` - Returns the current date and time
Installation
Add this MCP to your configuration:
{
"mcpServers": {
"cryptocurrency-technical-analysis": {
// See GitHub repository for configuration
}
}
}See the GitHub repository for full installation instructions.