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  1. Home
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  3. Flox MCP
Flox MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 5:46:24 PM

Flox MCP

User RatingsBe the first to rate and review this MCP server!
View Repository223 GitHub StarsTotal stargazers on GitHub for the source repository (223 stars).Visit Website
tradingfinancebacktestingdeveloper-tools

Exposes FLOX trading-system research and execution workflows to AI coding agents through MCP.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "flox-foundation-flox-mcp": {
      "command": "uvx",
      "args": [
        "flox-py"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives💰 More in Finance & Fintech

Overview

The flox-foundation/flox-mcp MCP server gives AI coding agents access to FLOX trading-system workflows through Model Context Protocol. It provides tools for symbol lookup, strategy scaffolding, indicator work, backtesting, lookahead-bias validation, order placement, PnL queries, and documentation search. FLOX supports a shared strategy API across backtesting, paper trading, and live execution, with bindings for Python, Node.js, Codon, embedded JavaScript, and C. Reach for it when an agent needs to inspect or drive FLOX-based trading research and execution workflows.

Use cases

•Scaffold FLOX trading strategies from an AI coding client
•Run and inspect trading backtests
•Validate strategies for lookahead bias
•Search FLOX documentation and symbols
•Query PnL or place orders through FLOX workflows

Key features

•30 MCP tools for FLOX workflows
•Strategy scaffolding
•Backtesting and indicator tools
•Lookahead-bias validation
•Full-text FLOX documentation search
•Order placement and PnL queries

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Flox MCP.

Extracted Tool Capabilities
30 MCP tools for FLOX workflows
Strategy scaffolding
Backtesting and indicator tools
Lookahead-bias validation
Full-text FLOX documentation search
Order placement and PnL queries

How Flox MCP works

What flox-foundation/flox-mcp MCP server does

The flox-foundation/flox-mcp MCP server exposes the FLOX trading framework to AI coding agents through an MCP control plane. It is intended for working with trading strategies, market data, indicators, backtests, and execution workflows from an agent-compatible client.

The package supports the broader FLOX model in which one strategy class can be used for backtesting, paper trading, and live execution. FLOX also provides language bindings for Python, Node.js, Codon, embedded JavaScript, and a C API. The MCP package provides an agent-facing way to discover and use parts of that surface rather than requiring the agent to manually navigate the framework documentation or APIs.

How it works

Install the flox-mcp Python package, then connect it to an MCP-compatible coding client. The server gives the client access to 30 tools covering FLOX-specific development and trading tasks. These include symbol lookups across bindings, strategy scaffolding, indicator and backtest operations, full-text documentation search, lookahead-bias validation, order placement, and PnL queries.

The underlying FLOX framework has a C++23 core and supports multiple strategy-language bindings. Exchange connectivity is provided separately through optional native connectors, including Bybit, Bitget, Hyperliquid, and Polymarket. The provided material does not state that every connector is enabled by the MCP package, so connector availability depends on the FLOX build and setup.

Setup and configuration

Install the server with:

Terminal
pip install flox-mcp

After installation, configure the package as an MCP server in the client you use for agent development. The repository specifically identifies Cursor, Claude Code, and Cline as supported AI coding-agent environments. The supplied material does not provide a client configuration file, command-line flags, required environment variables, or exchange credential instructions, so those details should be taken from the package README and the relevant FLOX documentation.

The main FLOX project is MIT-licensed. Its documentation also states that the software is provided without warranty and is intended for educational and research purposes; production use and any resulting trading risk remain the operator’s responsibility.

Tools and capabilities

The listed MCP capabilities include:

  • Looking up FLOX symbols across supported language bindings.
  • Generating starter strategy code.
  • Working with indicators and backtests.
  • Searching FLOX documentation with full-text queries.
  • Checking strategies for lookahead bias.
  • Placing orders through available trading workflows.
  • Querying profit-and-loss information.

These capabilities make flox-foundation/flox-mcp MCP server relevant for agents that need to move between strategy development, research, validation, and execution-related tasks. It is less suitable if the requirement is a general-purpose market-data server or a standalone exchange connector without the FLOX framework.

Limitations and notes

The server is tied to the FLOX ecosystem and does not replace FLOX’s optional connectors, venue module, or language packages. Native connectors are gated by FLOX build options and are disabled by default in the core project. The supplied material does not document supported exchanges for each MCP operation, authentication handling, paper/live safety controls, or the exact schemas for the 30 tools.

Trading actions can carry financial and operational risk. flox-foundation/flox-mcp MCP server should therefore be evaluated in a controlled research or paper-trading environment before it is used with live execution. FLOX’s own disclaimer places responsibility for production use, trading losses, and system failures on the operator.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
223
Stargazers on the source repository.
Last commit
13d ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Flox MCP

Install it from PyPI with `pip install flox-mcp`.

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Technical Specs & Signals

Category💰Finance & Fintech
PricingFree
More technical detailsExpand ▾
TransportSTDIO
RuntimePython
AuthNo auth required
LicenseMIT
ClientsCursor, Cline / VS Code
Last updatedSep 7, 2026
10/10 checks healthy over the last 32d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars223
GitHub Star CountTotal stargazers on GitHub representing community popularity (223 stars).
Last commit13d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 29, 2026
57Quality signal: Good · 57/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity8/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 20d ago via OSV.dev · flox-py (PyPI)

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