LumiFAI MCP Technical Analysis Server
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Integrations
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
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 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
This server cannot be installed
Provides technical analysis tools for cryptocurrency trading data, calculating EMAs (12 and 26 periods) for Binance pairs using MongoDB for data storage.