Processes cryptocurrency trading data from Binance pairs, specifically calculating and providing Exponential Moving Average (EMA) technical analysis indicators
Integrates with MongoDB for storage and retrieval of OHLCV (Open, High, Low, Close, Volume) cryptocurrency data which serves as the basis for technical analysis
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@LumiFAI MCP Technical Analysis Servercalculate EMAs for BTC/USDT over the last 24 hours"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Related MCP server: MCP Etherscan Server
Prerequisites
Python 3.13 or higher
MongoDB instance
uv package manager
Installation
Clone the repository:
Create and activate a virtual environment and install dependencies:
Set up environment variables: Create a
.envfile in the root directory with the following content:
Usage
Run the server:
Available Tools
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
get_date_time()Returns the current date and time