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Freqtrade-MCP

@kukapay

About Freqtrade-MCP

An MCP server that integrates with the Freqtrade cryptocurrency trading bot.

Basic information

Category

Other

License

MIT

Runtime

python

Transports

stdio

Publisher

kukapay

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "freqtrade-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "/your/path/to/freqtrade-mcp",
        "run",
        "__main__.py"
      ],
      "env": {
        "FREQTRADE_API_URL": "",
        "FREQTRADE_USERNAME": "",
        "FREQTRADE_PASSWORD": ""
      }
    }
  }
}

Tools

17

Fetch OHLCV data for a pair

Get open trade status

Get profit summary

Get account balance

Get performance metrics

Get whitelist of pairs

Get blacklist of pairs

Get trade history

Get bot configuration

Get trade locks

Place a buy/sell trade

Start the bot

Stop the bot

Reload bot configuration

Add pair to blacklist

Remove pair from blacklist

Delete a trade lock

Overview

What is Freqtrade-MCP?

Freqtrade-MCP is an MCP (Model Context Protocol) server that integrates with the Freqtrade cryptocurrency trading bot via its REST API. It enables AI agents to interact with and operate Freqtrade for automated trading.

How to use Freqtrade-MCP?

Clone the repository, install dependencies (freqtrade-client and mcp[cli]), then configure your MCP client with the server’s path and environment variables (FREQTRADE_API_URL, FREQTRADE_USERNAME, FREQTRADE_PASSWORD). The Freqtrade instance must have its REST API enabled (set api_server.enabled = true in its configuration).

Key features of Freqtrade-MCP

  • 17 MCP tools provide access to most Freqtrade API endpoints.
  • Fetch market data, profit, balance, performance, trades, and configuration.
  • Place buy/sell trades and manage trade locks.
  • Start, stop, and reload the bot remotely.
  • Manage whitelist and blacklist of trading pairs.
  • Simple setup with environment‑variable authentication.
  • Works with Python 3.13+ and MCP clients (e.g., Claude Desktop).

Use cases of Freqtrade-MCP

  • Ask an AI assistant for live trading status and performance summaries.
  • Automate retrieval of market data (candlesticks) for analysis.
  • Allow natural‑language commands to place trades or adjust bot settings.
  • Integrate Freqtrade with conversational interfaces for hands‑off operation.
  • Programmatically add or remove pairs from blacklists via AI tools.

FAQ from Freqtrade-MCP

What tools does Freqtrade-MCP expose?

It exposes 17 tools: fetch_market_data, fetch_bot_status, fetch_profit, fetch_balance, fetch_performance, fetch_whitelist, fetch_blacklist, fetch_trades, fetch_config, fetch_locks, place_trade, start_bot, stop_bot, reload_config, add_blacklist, delete_blacklist, and delete_lock.

What are the prerequisites to run Freqtrade-MCP?

Python 3.13+, a running Freqtrade instance with the REST API enabled, and Git to clone the repository.

How is authentication handled?

Authentication is passed via environment variables: FREQTRADE_USERNAME and FREQTRADE_PASSWORD (matching the credentials in Freqtrade’s api_server configuration).

Can I use Freqtrade-MCP without a local Freqtrade instance?

No. The server requires a running, network‑accessible Freqtrade instance with its REST API enabled.

Is there any documentation for the Freqtrade REST API?

Yes. Freqtrade’s official documentation at https://www.freqtrade.io/en/stable/rest-api/ explains how to enable and use the API that this MCP server wraps.

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