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MCP server · Developer Tools

Kraken MCP

MCP Server for the Kraken Crypto Exchange

Unclaimed MIT last commit a year ago model-context-protocolccxtmcpkrakendevtoolspython
54Fair

Scored 1 hours ago · breakdown

About Kraken MCP

Kraken MCP is an MCP server published by oilst in the Developer Tools category: mCP Server for the Kraken Crypto Exchange.

The repository has 7 stars and 4 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/oilst/kraken-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

Static checks derived from the repository 1 hours ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • !Dependencies pinnedNo lockfile. Installs can pull different code over time.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

v0.1.0v0.1.0 · 6 Oct 2025Working version of the Kraken MCP Server

README

Kraken Pro MCP for Gemini CLI

This project provides a FastMCP server that exposes the Kraken Pro REST API as a set of tools for the Gemini CLI. This allows you to interact with your Kraken account, trade, and access market data directly from your terminal using natural language.

Features

This server exposes a comprehensive set of tools for interacting with the Kraken API, including:

  • Trading: add_order, cancel_order, amend_order, open_orders, cancel_all_orders_after
  • Market Data: server_time, system_status, asset_info, tradable_asset_pairs, ticker, ohlc, order_book, recent_trades, recent_spreads

Prerequisites

Installation

The recommended way to install this server for use with the Gemini CLI is using the fastmcp command-line tool.

  1. Clone the repository:

    git clone https://github.com/oilst/kraken-mcp.git
    cd kraken-mcp
    
  2. Set up your environment variables: Create a .env file in the project directory with your Kraken API keys:

    KRAKEN_API_KEY="your_public_key"
    KRAKEN_API_SECRET="your_private_base64_secret"
    
  3. Install the server: Run the following command to install the server, its dependencies, and make the tools available to the Gemini CLI:

    fastmcp install gemini-cli kraken-server.py 
    

Usage

Once installed, you can use the tools directly in the Gemini CLI. Gemini will automatically detect the appropriate tool based on your prompt.

Examples:

  • "What is the current price of Bitcoin?" (uses the ticker tool)
  • "Place an order to buy 0.1 XBT at $50,000" (uses the add_order tool)
  • "Show me my open orders" (uses the open_orders tool)
  • "Cancel order XXXXX-XXXXX-XXXXXX" (uses the cancel_order tool)

Tools

Here is a list of the available tools and their parameters.

Trading Tools

  • add_order(pair, side, ordertype, volume, price, ...): Place a new order.
  • cancel_order(txid_or_userref): Cancel an open order.
  • open_orders(userref, trades): Fetch open orders.
  • amend_order(order_id, order_qty, limit_price, ...): Amend an open order.
  • cancel_all_orders_after(timeout_seconds): Set a dead man's switch to cancel all orders.

Market Data Tools

  • server_time(): Get the Kraken server time.
  • system_status(): Get the current system status.
  • asset_info(assets, aclass): Get information about assets.
  • tradable_asset_pairs(pairs, info): Get information about tradable pairs.
  • ticker(pairs): Get ticker information.
  • ohlc(pair, interval, since): Get OHLC data.
  • order_book(pair, count): Get the order book.
  • recent_trades(pair, since): Get recent trades.
  • recent_spreads(pair, since): Get recent spreads.

For detailed information on the parameters for each tool, please refer to the docstrings in the kraken-server.py file.

Disclaimer

Use this tool at your own risk. The author is not responsible for any financial losses. Always test with validate=True for the add_order tool before placing real orders.

README fetched from the repository 1 hours ago. The original is authoritative.

Questions

About Kraken MCP

How do I install Kraken MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Kraken MCP safe to use with an AI agent?

Its trust score is 54 out of 100 (fair). It passes 3 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Kraken MCP still maintained?

The last commit was a year ago and 1 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.