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.