@horustechltd
Basic information
Official MCP server for Horus Flow Intelligence: Institutional-grade market microstructure and orderflow physics for AI trading agents.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"horus-flow": {
"command": "python",
"args": [
"horus_mcp_public.py",
"--transport",
"sse",
"--port",
"8011"
],
"env": {
"RAPIDAPI_KEY": "your_rapidapi_key_here"
}
}
}
}Tool list not available yet
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An MCP server that provides sub-second institutional orderflow intelligence for autonomous AI agents and HFT traders. It ingests Level 2 orderbook data from Binance (crypto) and Alpaca (US equities) via WebSocket, then uses a physics-based engine to measure tick imbalances, flow deltas, and liquidity events. The server is designed for AI agents such as Claude and Cursor, and for trading bots that need real-time market microstructure signals.
Install dependencies (pip install mcp httpx), set the RAPIDAPI_KEY environment variable, and run the SSE server with python horus_mcp_public.py --transport sse --port 8011. Then pull live flow data via the API endpoint (e.g., https://flow.horustek.pro/v1/flow/crypto/BTCUSDT) using your API key in the X-API-Key header.
Horus uses Level 2 orderbook physics, tick imbalances, and 5-second flow deltas to measure institutional whale activity in real time, unlike lagging indicators like RSI or MACD.
Requires Python 3.12+, the `mcp` and `httpx` libraries, and a RapidAPI key (available on RapidAPI) or direct API key. Set the `RAPIDAPI_KEY` environment variable.
Data is ingested from Binance (crypto) and Alp
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