moomoo-api-mcp
Health Uyari
- License — License: Apache-2.0
- Description — Repository has a description
- Active repo — Last push 0 days ago
- Low visibility — Only 5 GitHub stars
Code Gecti
- Code scan — Scanned 12 files during light audit, no dangerous patterns found
Permissions Gecti
- Permissions — No dangerous permissions requested
This server acts as a bridge between AI agents and the Moomoo trading platform. It allows AI assistants to fetch real-time market data, manage financial accounts, and directly execute stock trades on behalf of the user.
Security Assessment
Overall Risk: High. While the light code scan found no dangerous patterns, hardcoded secrets, or malicious shell execution, the core function of this tool is inherently risky. It makes network requests to the Moomoo OpenD gateway to access highly sensitive financial data and places live trades. Because it gives an AI model the ability to modify, place, and cancel financial orders, a misconfigured prompt or hallucination could result in severe monetary loss. Additionally, the tool includes an `unlock_trade` function, further lowering the barrier between the AI and your real money.
Quality Assessment
The project is very new and currently has low community visibility with only 5 GitHub stars. However, it is actively maintained, with recent repository pushes. It uses the standard Apache-2.0 license and includes a clear, well-documented README outlining its features and installation process. Trust should be heavily weighed against the extremely small community size and lack of extensive public auditing.
Verdict
Use with extreme caution: Although the code appears clean, giving an AI direct access to view financial data and execute live trades carries severe financial risk and requires strict oversight.
MCP Server for AI Agents to use Moomoo OpenAPI (https://www.moomoo.com/OpenAPI)
Moomoo API MCP Server
An MCP (Model Context Protocol) server for the Moomoo trading platform. This server allows AI agents (like Claude Desktop or Gemini) to access market data, account information, and execute trades via the moomoo-api Python SDK.
Features
- Market Data: Real-time quotes, historical K-lines, market snapshots, and order books.
- Account Management: Comprehensive account summaries, assets, positions, and cash flow analysis.
- Trading: Full order management including placing, modifying, and canceling orders.
- System Health: Built-in health checks and connectivity verification.
- Extensible Architecture: Built on FastMCP for easy extension of trading capabilities.
Tools
System
check_health: Check connectivity to Moomoo OpenD gateway and server health.
Account
get_accounts: List all trading accounts (REAL and SIMULATE).get_account_summary: Get a complete summary of assets and positions for an account.get_assets: Retrieve account assets (cash, market value, buying power).get_positions: Get current stock positions with P/L data.get_max_tradable: Calculate maximum tradable quantity for a specific stock.get_margin_ratio: Check margin ratios for specific stocks.get_cash_flow: Retrieve historical cash flow records.unlock_trade: Unlock trading access for REAL accounts.
Market Data
get_stock_quote: Get real-time stock quotes.get_historical_klines: Retrieve historical candlestick data (Day, Week, Min, etc.).get_market_snapshot: Get efficient market snapshots for multiple stocks.get_order_book: View real-time bid/ask order book depth.
Trading
place_order: Place a new order (Market, Limit, Stop, etc.).modify_order: Modify price or quantity of an open order.cancel_order: Cancel an open order.get_orders: Get list of orders for the current day.get_deals: Get list of executed trades (deals) for the current day.get_history_orders: Search historical orders.get_history_deals: Search historical deals.
Installation
Quick Start (Recommended)
You can run the server directly using uvx (part of the uv toolkit).
Using --refresh ensures you are always running the latest version:
uvx --refresh moomoo-api-mcp
Permanent Installation
To install it as a persistent tool available in your shell:
uv tool install moomoo-api-mcp
# Then run:
moomoo-api-mcp
Note: The
moomoo-apiPython SDK and other dependencies will be installed automatically.
Development Setup
Clone the repository:
git clone https://github.com/Litash/moomoo-api-mcp.git cd moomoo-api-mcpInstall dependencies:
uv syncRun locally:
uv run moomoo-api-mcp
Configuration
1. Prerequisites
Moomoo OpenD (Required)
The MCP server communicates with the Moomoo API via Moomoo OpenD, a local gateway application. You MUST install and run this first.
Download OpenD:
- Visit the Moomoo Open API Download Page.
- Download the version appropriate for your OS (Windows/Mac/Linux).
Install & Run:
- Install the application.
- Launch Moomoo OpenD.
- Log in with your Moomoo account credentials.
Configure:
- Ensure the listening port is set to
11111(this is the default). - Note: The MCP server connects to
127.0.0.1:11111by default.
- Ensure the listening port is set to
2. Environment Variables
To enable REAL account access, you must securely provide your credentials.
| Variable | Description | Example |
|---|---|---|
MOOMOO_TRADE_PASSWORD |
Your trading password (plain text) | 123456 |
MOOMOO_SECURITY_FIRM |
Your broker region (e.g., FUTUSG, FUTUINC) | FUTUSG |
Note: Without these, the server runs in SIMULATE-only mode (paper trading).
3. Configure Claude Desktop
Add the server to your claude_desktop_config.json:
Option A: Using PyPI Package (Recommended)
{
"mcpServers": {
"moomoo": {
"command": "uvx",
"args": ["--refresh", "moomoo-api-mcp"],
"env": {
"MOOMOO_TRADE_PASSWORD": "your_trading_password",
"MOOMOO_SECURITY_FIRM": "FUTUSG"
}
}
}
}
Note: The
--refreshflag ensures you always have the latest version but may increase startup time due to version checking. You can remove it once you have the correct version installed.
Option B: Local Development
{
"mcpServers": {
"moomoo": {
"command": "uv",
"args": [
"--directory",
"C:\\path\\to\\moomoo-api-mcp",
"run",
"moomoo-api-mcp"
],
"env": {
"MOOMOO_TRADE_PASSWORD": "your_trading_password",
"MOOMOO_SECURITY_FIRM": "FUTUSG"
}
}
}
}
Security: Never commit your password to version control. The
envblock in the config file remains local.
AI Agent Guidance
IMPORTANT: All account tools default to REAL trading accounts.
When using this MCP server, AI agents MUST:
Notify the user clearly before accessing REAL account data. Example:
"I'm about to access your REAL trading account. This will show your actual portfolio and balances."
Follow the unlock workflow for REAL accounts:
- First call
unlock_trade(it handles env vars automatically, or pass password if needed). - Then call account/trading tools (they default to
trd_env='REAL').
- First call
Only use SIMULATE accounts when explicitly requested by the user. To use simulation:
- Pass
trd_env='SIMULATE'parameter explicitly. - No unlock is required for simulation accounts.
- Pass
Workflow Example
User: "Show me my portfolio"
Agent Response:
"I'm accessing your REAL trading account to show your portfolio.
If you prefer to use a simulation account instead, please let me know."
[Proceeds to unlock_trade → get_account_summary]
Order Status Filter Usage
When using get_orders or get_history_orders, the status_filter_list parameter accepts an array of string values:
["SUBMITTED", "FILLED_ALL", "CANCELLED_ALL"]
Valid status strings:
UNSUBMITTED,WAITING_SUBMIT,SUBMITTING,SUBMIT_FAILEDSUBMITTED,FILLED_PART,FILLED_ALLCANCELLING_PART,CANCELLING_ALL,CANCELLED_PART,CANCELLED_ALLREJECTED,DISABLED,DELETED,FAILED,NONE
Note: The server automatically converts these strings to the required SDK enum format. If no orders match the filter, an empty list is returned.
License
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
Disclaimer
Unofficial Project: This software is an independent open-source project and is not affiliated with, endorsed by, or sponsored by Moomoo Inc., Futu Holdings Ltd., or their affiliates.
- Use at your own risk: Trading involves financial risk. The authors provide this software "as is" without warranty of any kind.
- Test First: Always test your agents and tools in the Simulation (Paper Trading) environment before using real funds.
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