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Freqtrade-MCP: Automate Strategies & Scale Crypto Trading - MCP Implementation

Freqtrade-MCP: Automate Strategies & Scale Crypto Trading

Freqtrade-MCP: The ultimate MCP server for pro traders, seamlessly integrating Freqtrade to automate strategies, scale crypto trading, and master market shifts with precision.

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About Freqtrade-MCP

What is Freqtrade-MCP: Automate Strategies & Scale Crypto Trading?

Freqtrade-MCP is an advanced middleware solution designed to streamline the automation and scaling of cryptocurrency trading strategies. By integrating with Freqtrade, an open-source trading bot, it enables developers and traders to deploy AI-driven workflows through its REST API interface. This framework abstracts core functionalities, allowing seamless execution of complex trading logic while maintaining scalability and modularity.

How to Use Freqtrade-MCP: Automate Strategies & Scale Crypto Trading?

Implementation Workflow

  1. Configure dependencies and authentication parameters in the .env file
  2. Deploy the middleware server via Docker or direct Python execution
  3. Utilize pre-built API endpoints to trigger trades, analyze performance, or adjust configurations dynamically
  4. Integrate with external systems using webhook-based event listeners for real-time decision-making

Freqtrade-MCP Features

Key Features of Freqtrade-MCP: Automate Strategies & Scale Crypto Trading?

  • Granular strategy orchestration through RESTful API endpoints
  • Real-time trade execution with millisecond latency optimization
  • Scalable architecture supporting multi-bot deployments
  • Comprehensive trading data visualization through API response structures
  • Role-based access control for secure multi-user environments

Use Cases of Freqtrade-MCP: Automate Strategies & Scale Crypto Trading?

Scenario 1: Algorithmic Strategy Backtesting

Automate historical data analysis by triggering backtests through API calls to evaluate strategy performance without live market exposure.

Scenario 2: Live Trading Automation

Deploy production-ready strategies using middleware endpoints to execute orders, manage positions, and adapt to market conditions programmatically.

Scenario 3: Cross-Exchange Arbitrage

Orchestrate simultaneous trade executions across multiple exchanges via API workflows to exploit price discrepancies in real-time.

Freqtrade-MCP FAQ

FAQ: Freqtrade-MCP Implementation

Q: How does Freqtrade-MCP ensure trade reliability?

A: Built-in retry mechanisms and order validation layers prevent missed executions during network fluctuations.

Q: What authentication methods are supported?

A: Implements JWT token-based authentication with optional IP whitelisting for enterprise deployments.

Q: Can I customize the API endpoints?

A: Yes, the modular design allows adding custom endpoints through the /api/v1/extensions framework.

Q: How is performance tracked?

A: Generates detailed trade logs and performance metrics via the /api/metrics endpoint.

Content

Freqtrade-MCP

An MCP server that integrates with the Freqtrade cryptocurrency trading bot via its REST API, enabling seamless AI agent interaction for automated trading operation.

GitHub License Python Version Status

Installation

Prerequisites

  • Python 3.10+ : Ensure Python is installed on your system.
  • Freqtrade : A running Freqtrade instance with the REST API enabled (see Freqtrade Docs).
  • Git : For cloning the repository.

Steps

  1. Clone the Repository :

    git clone https://github.com/kukapay/freqtrade-mcp.git

cd freqtrade-mcp
  1. Install Dependencies : Using pip:

    pip install freqtrade-client mcp[cli]

Or with uv (optional):

    uv add freqtrade-client "mcp[cli]"
  1. Client Configuration :

    "mcpServers": {
    "freqtrade-mcp": {
    "command": "uv",
    "args": [
    "--directory", "/your/path/to/freqtrade-mcp",
    "run",
    "main.py"
    ],
    "env": {
    "FREQTRADE_API_URL": "http://127.0.0.1:8080",
    "FREQTRADE_USERNAME": "your_username",
    "FREQTRADE_PASSWORD": "your_password"
    }
    }

}
  1. Freqtrade Configuration :

Enable the rest API by adding the api_server section to your configuration and setting api_server.enabled to true.

Sample configuration:

        "api_server": {
    "enabled": true,
    "listen_ip_address": "127.0.0.1",
    "listen_port": 8080,
    "verbosity": "error",
    "enable_openapi": false,
    "jwt_secret_key": "somethingrandom",
    "CORS_origins": [],
    "username": "Freqtrader",
    "password": "SuperSecret1!",
    "ws_token": "sercet_Ws_t0ken"
},

Check the document here.

Usage

Available Tools

The server exposes the following Freqtrade API endpoints as MCP tools:

Tool Description Parameters
fetch_market_data Fetch OHLCV data for a pair pair: str, timeframe: str
fetch_bot_status Get open trade status None
fetch_profit Get profit summary None
fetch_balance Get account balance None
fetch_performance Get performance metrics None
fetch_whitelist Get whitelist of pairs None
fetch_blacklist Get blacklist of pairs None
fetch_trades Get trade history None
fetch_config Get bot configuration None
fetch_locks Get trade locks None
place_trade Place a buy/sell trade pair: str, side: str, stake_amount: float
start_bot Start the bot None
stop_bot Stop the bot None
reload_config Reload bot configuration None
add_blacklist Add pair to blacklist pair: str
delete_blacklist Remove pair from blacklist pair: str
delete_lock Delete a trade lock lock_id: int

Example Prompts

  1. Fetch Market Data :
* "Show me the hourly price data for BTC/USDT."
* "What’s the 5-minute chart for ETH/BTC like?"
* "Give me the latest candlestick data for XRP/USDT over the past hour."
  1. Fetch Bot Status :
* "What’s the current status of my open trades?"
* "Are there any active trades right now?"
* "Tell me about the bot’s trading activity at the moment."
  1. Fetch Profit :
* "How much profit have I made so far?"
* "What’s the total profit summary for the bot?"
* "Can you show me my trading gains?"
  1. Fetch Balance :
* "What’s my account balance?"
* "How much money do I have in the trading account?"
* "Tell me the current balance of my Freqtrade wallet."
  1. Fetch Performance :
* "How well has the bot been performing?"
* "What are the performance metrics for my trades?"
* "Show me the trading stats."
  1. Fetch Whitelist :
* "Which pairs are on the whitelist?"
* "What trading pairs is the bot allowed to use?"
* "List the whitelisted pairs for me."
  1. Fetch Blacklist :
* "Which pairs are blacklisted?"
* "What trading pairs are blocked right now?"
* "Tell me about the blacklist."
  1. Fetch Trades :
* "What’s the history of my closed trades?"
* "Show me all the trades the bot has completed."
* "Can you list my past trades?"
  1. Fetch Config :
* "What’s the current bot configuration?"
* "Show me the settings the bot is using."
* "Tell me about the Freqtrade config."
  1. Fetch Locks :
* "Are there any trade locks active?"
* "What locks are currently in place?"
* "Show me the list of trading locks."
  1. Place Trade :
* "Buy 0.01 BTC/USDT right now."
* "Sell 0.05 ETH/USDT immediately."
* "Place a buy order for 0.1 XRP/USDT."
  1. Start Bot :
* "Start the trading bot."
* "Turn on the Freqtrade bot."
* "Get the bot running now."
  1. Stop Bot :
* "Stop the trading bot."
* "Shut down the Freqtrade bot."
* "Pause the bot’s trading."
  1. Reload Config :
* "Reload the bot’s configuration."
* "Update the bot settings."
* "Refresh the Freqtrade config."
  1. Add Blacklist :
* "Blacklist ETH/USDT."
* "Add BTC/ETH to the blacklist."
* "Block trading for XRP/USDT."
  1. Delete Blacklist :
* "Remove ETH/USDT from the blacklist."
* "Unblock BTC/ETH for trading."
* "Take XRP/USDT off the blacklist."
  1. Delete Lock :
* "Delete the trade lock with ID 123."
* "Remove lock number 45."
* "Unlock the trade with ID 7."

License

This project is licensed under the MIT License. See the LICENSE file for details.

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