TradeOS AI MCP Server

@TradeOS-AI

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

TradeOS-AI

提交者

关于 TradeOS AI MCP Server

Use TradeOS MCP Server to bring your trading data, indicators, strategy logic, and agent workflows into MCP-compatible AI tools. Copy your server URL, add it to GPT or Claude, and let your AI assistant work directly with your TradeOS trading intelligence.

#finance #stock#invest

TradeOS AI MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "tradeos-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "-p",
        "@tradeos/tradeos-mcp",
        "tradeos-mcp-oauth"
      ]
    }
  }
}

TradeOS AI MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is TradeOS AI?

TradeOS AI lets you connect TradeOS trading intelligence to MCP-compatible AI tools, so your assistant can analyze markets, search tickers, compare spreads, use macro context, and manage custom trading agents directly from natural-language prompts. It is a stdio MCP bridge that proxies tools to the TradeOS Streamable HTTP endpoint (https://ai.tradeos.xyz/api/agent/mcp/mcp-call).

How to use TradeOS AI?

Two modes are supported. HTTP (recommended): set the URL https://ai.tradeos.xyz/api/agent/mcp/mcp-call in your MCP client’s configuration (e.g., Cursor mcp.json); the client handles OAuth. npm stdio: install @tradeos/tradeos-mcp locally, run the OAuth helper to obtain a TRADEOS_ACCESS_TOKEN, then configure the client with the node command pointing to the bridge script and the token in env. Detailed steps for Cursor and Claude Code are provided in the README.

Key features of TradeOS AI

Analyze markets and search tickers from natural language
Compare spreads and use macro context
Manage custom trading agents via prompts
Supports both HTTP (OAuth) and npm stdio (token) transports
Production endpoint: https://ai.tradeos.xyz/api/agent/mcp/mcp-call
Compatible with Cursor, Claude Code, and most MCP clients
Windows-friendly setup with local install instructions

Use cases of TradeOS AI

Ask an AI assistant to analyze current market conditions
Compare bid‑ask spreads across multiple instruments
Let an AI agent manage a custom trading strategy
Retrieve macro‑economic context to inform trading decisions
Search tickers and fetch real‑time data via conversational prompts

常见问题

How do I get an access token for the npm stdio mode?

Run the OAuth helper: `npx -y -p @tradeos/tradeos-mcp tradeos-mcp-oauth` (or `node …/scripts/fetch-token.mjs`). It opens a browser to authenticate with TradeOS, then prints a JWT (`eyJ…`) to copy into your MCP client config.

What are the prerequisites for using TradeOS AI?

Node.js 18+ and a TradeOS account with MCP API access are required. For npm stdio mode, you need the ability to run a local installation.

Where does the data go when using TradeOS AI?

All tool calls are proxied to the production endpoint `https://ai.tradeos.xyz/api/agent/mcp/mcp-call`. No data is stored locally by the bridge; authentication is handled via browser OAuth (HTTP mode) or a token (npm stdio mode).

What transport and authentication options are available?

- **HTTP (Streamable HTTP):** browser OAuth managed by the MCP client. - **npm stdio:** requires a `TRADEOS_ACCESS_TOKEN` environment variable (set in the client’s `env` config, not in the shell).

I see “TRADEOS_ACCESS_TOKEN is required” when connecting. What should I do?

The token is not set in the environment or `mcp.json`. Run the OAuth helper to get a fresh JWT, then paste it (without any `Bearer` prefix) into the `env` section of your MCP client configuration.

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