What are the software requirements?
Python 3.12 or higher and a valid Bybit API key/secret pair. An internet connection is also required.
@andrefigueira93
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"bybit_mcp_server": {
"command": "uv",
"args": [
"venv"
]
}
}
}Gets the current wallet balance
Retrieves current price, volume and other data for a symbol
Gets historical candlestick data for analysis
Performs comprehensive technical analysis on a symbol
Performs analysis across multiple timeframes
Places buy/sell orders with optional take profit/stop loss
Cancels an active order
Lists all active orders
Lists all open positions
Bybit MCP Server bridges Bybit’s trading platform with AI systems using the Machine Cognition Protocol (MCP). It provides tools for real‑time market data, technical analysis, and automated trading operations, enabling AI‑assisted cryptocurrency trading.
Install locally with uv pip install -e . after cloning the repository, or use Docker with docker-compose up -d. Set your Bybit API credentials in a .env file (with BYBIT_TESTNET for testnet). Start the server with mcp run main.py -t sse; it listens on port 8000 (port 80 when using Docker).
Python 3.12 or higher and a valid Bybit API key/secret pair. An internet connection is also required.
Clone the repo, create a `.env` file with your API credentials, then run `docker-compose build` and `docker-compose up -d`. The server is exposed on port 80.
Yes. Set `BYBIT_TESTNET=True` in your `.env` file to use the testnet; set it to `False` for the production mainnet.
Tools include `get_balance`, `get_ticker`, `get_klines`, `analyze_market`, `analyze_multi_timeframe`, `place_order`, `cancel_order`, `get_active_orders`, and `get_active_positions`.
The README includes a disclaimer that the software is for educational purposes only. Users should assess their own risk; the server requires API credentials and can operate on the mainnet.
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