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freqtrade-mcp

MCP.Pizza Chef: kukapay

Freqtrade-MCP is an MCP server that connects with the Freqtrade cryptocurrency trading bot via its REST API. It enables AI agents to interact seamlessly with the trading bot for automated trading operations, providing real-time market data access and trade execution capabilities. Designed for Python 3.13+, it facilitates advanced AI-driven trading workflows and bot management within the MCP ecosystem.

Use This MCP server To

Automate cryptocurrency trading using AI-driven strategies Access real-time market data from Freqtrade bot via REST API Execute trades programmatically through AI agents Monitor and manage Freqtrade bot operations remotely Integrate AI decision-making into crypto trading workflows Simulate trading scenarios with AI interaction Fetch trading bot status and performance metrics in real time

README

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.

Discord GitHub License Python Version Status

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:

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."
  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.

freqtrade-mcp FAQ

How do I install freqtrade-mcp?
Clone the GitHub repo, then install dependencies using pip with Python 3.13+.
What prerequisites are needed for freqtrade-mcp?
You need Python 3.13+, a running Freqtrade instance with REST API enabled, and Git.
How does freqtrade-mcp interact with the Freqtrade bot?
It uses the Freqtrade REST API to enable AI agents to access data and execute trades.
Can freqtrade-mcp be used with multiple AI providers?
Yes, it supports integration with various LLM providers like OpenAI, Claude, and Gemini.
Is freqtrade-mcp actively maintained?
Yes, the project status is active with ongoing updates and community support.
What programming language is freqtrade-mcp built with?
It is built using Python, requiring version 3.13 or higher.
How secure is the interaction between AI agents and the trading bot?
The MCP protocol ensures scoped, secure, and observable interactions between AI agents and the bot.
Can I customize trading strategies through freqtrade-mcp?
Yes, AI agents can be programmed to implement and adjust trading strategies dynamically via the MCP interface.