TradeStaq MCP

TradeStaq MCP

Provides 31 AI-powered crypto trading tools for Claude, Cursor, and any MCP client, enabling strategy creation, backtesting, bot deployment, copy trading, and portfolio management across multiple exchanges.

Category
访问服务器

README

TradeStaq MCP Server

npm version License: MIT

31 AI-powered trading tools for Claude, Cursor, and any MCP client.

Create strategies, backtest them, deploy trading bots, copy top traders, monitor positions, and manage your crypto portfolio, all from conversation. Supports Binance, Bybit, OKX, Bitget, Hyperliquid, dYdX, and more.

"Show me my portfolio" → get_portfolio
"Backtest GhostRider on BTC/USDT for 3 months" → what_if_backtest
"Deploy it on my Binance account" → deploy_bot
"Who are the top traders this month?" → list_top_traders
"Generate a momentum strategy for ETH" → generate_strategy

Quick Start

Option A: Remote server (no install needed)

For MCP clients that support HTTP transport:

{
  "mcpServers": {
    "tradestaq": {
      "url": "https://mcp.tradestaq.com/mcp"
    }
  }
}

Option B: npx (recommended for local)

No clone, no build. Just add to your MCP config:

Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "tradestaq": {
      "command": "npx",
      "args": ["-y", "@the-staq/tradestaq-mcp"]
    }
  }
}

Cursor (.cursor/mcp.json):

{
  "mcpServers": {
    "tradestaq": {
      "command": "npx",
      "args": ["-y", "@the-staq/tradestaq-mcp"]
    }
  }
}

Claude Code:

claude mcp add tradestaq -- npx -y @the-staq/tradestaq-mcp

Option C: Clone and build

git clone https://github.com/the-staq/tradestaq-mcp.git
cd tradestaq-mcp
npm install
npm run build

Then point your MCP client to dist/index.js.

Authenticate

After adding the server, ask your AI assistant to log in:

  • "Log me in to TradeStaq" — uses email/password directly
  • "Authenticate with TradeStaq" — opens a browser window for secure OAuth login

Credentials never enter the chat when using the browser flow. Token is stored locally at ~/.tradestaq/mcp-config.json with restricted permissions (0600).

Tools

Auth

Tool Description
login Log in with email and password
authenticate Log in via browser (OAuth + PKCE)
check_auth Check authentication status
set_token Manually set a JWT token
connect_exchange Connect an exchange account via browser
logout Remove stored credentials

Market Data

Tool Description
get_price Current price, 24h change, volume
get_candles OHLCV candlestick data (1m to 1d)
list_exchanges List connected exchange accounts
search_markets Find trading pairs on a specific exchange

Portfolio

Tool Description
get_portfolio Total balance, exchanges, active bots
get_positions Open positions with live PnL

Strategies

Tool Description
list_strategies Browse marketplace or your own strategies
get_strategy Full strategy details and performance
explain_strategy Plain-English explanation with risk profile
compare_strategies Side-by-side metrics comparison
create_strategy Create a strategy from TradeDroid code
generate_strategy Generate a strategy from natural language using AI

Backtesting

Tool Description
what_if_backtest Run a historical backtest (async, 30-120s)
get_backtest_results Check status of a running backtest

Bot Management

Tool Description
list_bots All bots with status and performance
get_bot_status Detailed bot metrics and config
deploy_bot Deploy a strategy as a trading bot
stop_bot Stop a running bot
close_position Close an open position (full or partial)

deploy_bot defaults to paper trading. Pass live: true for real money.

Trade History

Tool Description
get_trade_history Closed trades with PnL, entry/exit prices
get_performance_metrics ROI, win rate, Sortino ratio, PnL breakdown

Copy Trading

Tool Description
list_top_traders Browse the leaderboard of top traders
follow_trader Subscribe to copy a trader's trades

Advisor

Tool Description
suggest_strategies Match strategies to your risk profile
get_market_context Trend, volatility, support/resistance for a symbol

Prompt Templates

Trading Assistant — Start a conversation about your portfolio and positions. The AI calls get_portfolio and get_positions to ground its responses in your actual data.

Strategy Builder — Walk through creating, backtesting, and deploying a strategy. Pass an optional goal like "momentum strategy for ETH" to get focused suggestions.

Portfolio Reviewer — Deep analysis of your portfolio, positions, trade history, and performance. Identifies what's working, what isn't, and suggests improvements.

Resources

MCP resources provide browsable data that AI clients can read directly:

Resource URI Description
Portfolio tradestaq://portfolio Balances, positions, and active bots
Bots tradestaq://bots All bots with status and PnL
Strategies tradestaq://strategies Strategy catalog with ratings

Architecture

                    stdio                                    HTTPS
┌──────────────┐◄──────────►┐                  ┌────────────────►┌──────────────┐
│Claude Desktop│             │                  │                 │              │
│Cursor / CLI  │             │  tradestaq-mcp   │   Bearer JWT    │  TradeStaq   │
└──────────────┘             │  31 tools        │◄────────────────│  API         │
                             │  3 prompts       │                 │              │
┌──────────────┐  HTTP+SSE  │  3 resources      │                 └──────────────┘
│ Any MCP      │◄──────────►│                  │
│ client (web) │             └──────────────────┘
└──────────────┘
  • Two transports: stdio (local, default) and HTTP+SSE (remote, --http flag)
  • Hosted at https://mcp.tradestaq.com/mcp for remote clients
  • JWT auth via OAuth PKCE or email/password login
  • All tools return structured JSON with error contract
  • Token auto-refresh when expiring within 1 hour

Development

npm run dev        # watch mode with tsx
npm run build      # compile TypeScript
npm run lint       # type check without emitting
npm test           # run tests
npm start          # run server (stdio)
npm run start:http # run server (HTTP+SSE on port 3100)

Error Handling

All tool errors return structured responses:

{
  "error": {
    "code": "INSUFFICIENT_BALANCE",
    "message": "Human-readable description",
    "retryable": true,
    "retryAfterMs": 5000
  }
}

Error codes: AUTH_EXPIRED, TIMEOUT, RATE_LIMITED, NETWORK_ERROR, HTTP_4xx, HTTP_5xx.

Security

  • Credentials never enter AI conversation history
  • OAuth PKCE flow with browser-based authentication
  • Token stored with 0600 file permissions
  • Localhost-only OAuth callbacks
  • deploy_bot, stop_bot, close_position, and follow_trader are destructive operations (AI confirms with user)

License

MIT

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