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.

Installation

Prerequisites

• Python 3.13+: 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

2. Install Dependencies:

Using pip:

pip install freqtrade-client mcp[cli]

Or with uv (optional):

uv add freqtrade-client "mcp[cli]"

3. 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"
        } 
      } 
    }

4. 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:

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."

2. 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."

3. 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?"

4. 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."

5. Fetch Performance:

• "How well has the bot been performing?"
• "What are the performance metrics for my trades?"
• "Show me the trading stats."

6. Fetch Whitelist:

• "Which pairs are on the whitelist?"
• "What trading pairs is the bot allowed to use?"
• "List the whitelisted pairs for me."

7. Fetch Blacklist:

• "Which pairs are blacklisted?"
• "What trading pairs are blocked right now?"
• "Tell me about the blacklist."

8. 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?"

9. Fetch Config:

• "What’s the current bot configuration?"
• "Show me the settings the bot is using."
• "Tell me about the Freqtrade config."

10. Fetch Locks:

• "Are there any trade locks active?"
• "What locks are currently in place?"
• "Show me the list of trading locks."

11. Place Trade:

• "Buy 0.01 BTC/USDT right now."
• "Sell 0.05 ETH/USDT immediately."
• "Place a buy order for 0.1 XRP/USDT."

12. Start Bot:

• "Start the trading bot."
• "Turn on the Freqtrade bot."
• "Get the bot running now."

13. Stop Bot:

• "Stop the trading bot."
• "Shut down the Freqtrade bot."
• "Pause the bot’s trading."

14. Reload Config:

• "Reload the bot’s configuration."
• "Update the bot settings."
• "Refresh the Freqtrade config."

15. Add Blacklist:

• "Blacklist ETH/USDT."
• "Add BTC/ETH to the blacklist."
• "Block trading for XRP/USDT."

16. Delete Blacklist:

• "Remove ETH/USDT from the blacklist."
• "Unblock BTC/ETH for trading."
• "Take XRP/USDT off the blacklist."

17. 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.