FLOX MCP Server

@FLOX-Foundation

Basic information

About FLOX MCP Server

MCP server for the FLOX trading framework. About 30 tools to run backtests, scaffold strategies, validate for lookahead bias, compute indicators, place orders, and query PnL from Claude/Cursor.

#trading #backtesting #quant #finance#indicators#claude #cursor #ai

FLOX MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "flox": {
      "command": "flox-mcp",
      "args": []
    }
  }
}

FLOX MCP Server tools

run a strategy against a recorded tape (.floxlog)

generate a new strategy from a template

static lookahead-bias check

Overview

What is FLOX MCP Server?

The FLOX MCP Server provides around 30 tools that let coding agents (Claude, Cursor, Cline) drive an end-to-end quantitative trading workflow. It integrates with the FLOX trading systems framework, a C++23 platform with polyglot strategy bindings.

How to use FLOX MCP Server?

Install with pip and then initialize: pip install flox-mcp followed by flox-mcp init. Tools are called directly by the agent to backtest, generate strategies, place orders, and query runtime state.

Key features of FLOX MCP Server

Run strategies against recorded tape (.floxlog) backtests
Compute and suggest indicators from built-in library
Scaffold new strategies from templates
Validate strategies for static lookahead bias
Place, cancel, and flatten orders for execution
Query PnL, positions, and open orders at runtime
Explain trading decisions and retrieve event logs

Use cases of FLOX MCP Server

Let an LLM agent backtest a strategy on historical tick data
Automate indicator selection and strategy scaffolding during development
Execute trades via PaperBroker or real broker connectors (Bybit, Bitget, Hyperliquid, Polymarket)
Debug strategies with lookahead-bias validation and explainability tools

Frequently asked questions

What runtime or dependencies does the FLOX MCP Server require?

Python is required; install via `pip install flox-mcp`.

What broker integrations are supported?

The FLOX framework supports PaperBroker for simulated fills, CcxtBroker, and native connectors for Bybit, Bitget, Hyperliquid, and Polymarket.

Can the same strategy code be used across backtesting and live trading?

Yes. The same strategy runs from recorded-tape backtest, to live data with simulated fills, to a real broker without code changes.

How many tools does the FLOX MCP Server expose?

It provides approximately 30 tools covering backtesting, indicator computation, strategy generation, validation, order execution, and runtime queries.

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