Kraken Pro MCP

Kraken Pro MCP

Provides real-time cryptocurrency market data from the Kraken Pro exchange, including ticker prices, asset info, and system status.

Category
访问服务器

README

Kraken Pro MCP

A Model Context Protocol (MCP) server that provides real-time cryptocurrency market data from the Kraken Pro exchange.

Overview

This MCP server exposes Kraken's public API as MCP tools, allowing AI assistants to fetch real-time cryptocurrency prices, trading pairs, and market data.

Available Tools

Tool Description
get_system_status Check if Kraken API is online and operational
get_ticker Get real-time ticker data for a trading pair (e.g., XBTUSD, ETHUSD)
get_asset_info List all available assets on Kraken with their details

Installation

pnpm install

Development

Run in development mode with hot reload:

pnpm run dev

Build

Compile TypeScript to JavaScript:

pnpm run build

Usage

Start the MCP server:

pnpm start

The server runs on stdio and communicates via the Model Context Protocol.

Claude Desktop

To use this server with Claude Desktop, add the following to your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%/Claude/claude_desktop_config.json

{
    "mcpServers": {
        "kraken-pro": {
            "command": "node",
            "args": [
                "<PATH TO REPO>/kraken-pro-mcp/dist/index.js"
            ]
        }
    }
}

Replace <PATH TO REPO> with the absolute path to this repository on your system.

Development Mode

For development and testing new changes with hot reload, use the development mode instead:

{
    "mcpServers": {
        "kraken-pro": {
            "command": "pnpm",
            "args": ["run", "dev"],
            "cwd": "<PATH TO REPO>/kraken-pro-mcp"
        }
    }
}

This will automatically restart the server when you make changes to the source code.

Testing

# Run all tests in watch mode
pnpm test

# Run unit tests only (with mocks)
pnpm run test:unit

# Run acceptance tests (hits real Kraken API - rate limited)
pnpm run test:acceptance

Linting & Formatting

# Check linting
pnpm run lint

# Format code
pnpm run format

# Run all checks (lint + format + organize imports)
pnpm run check

Project Structure

src/
  index.ts           # MCP server entry point with tool registrations
  kraken-client.ts   # Kraken API client using native fetch
  types.ts           # Shared TypeScript interfaces
test/
  unit/              # Fast unit tests with mocked fetch
  acceptance/        # Slower integration tests hitting real API

Technologies

  • Model Context Protocol - Protocol for AI tool integration
  • Zod - Schema validation
  • TypeScript 5.9 with strict mode
  • Vitest for testing
  • Biome for linting and formatting

License

ISC

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选