mcpField
T
Tradewink

Tradewink

Remote
tradewink.comFinance0Updated 20w ago

About Tradewink

Tradewink connects LLMs to the Tradewink autonomous trading platform through MCP. It is for users who need market data, portfolio management, or trading operations, and also provides AI analysis, strategy, trade-history, and scheduled-analysis tools.

Key features

  1. 01Check account, positions, and portfolio
  2. 02Retrieve quotes, news, and market data
  3. 03Manage watchlists and orders
  4. 04Review strategies, trade history, and analytics
  5. 05Run AI analysis and schedule jobs

Use cases

  1. 01Review positions and retrieve a stock quote
  2. 02Update a watchlist or place a trade order
  3. 03Analyze a ticker and review trade history

MCP support

The local stdio server proxies tool and resource calls over HTTPS to the remote Tradewink MCP server. OAuth 2.1 is the default, with API-key authentication also available.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://tradewink-mcp.fly.dev/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://tradewink-mcp.fly.dev/mcpAuth required

Tools

Details

From the project README

@tradewink/mcp

Connect any LLM to the Tradewink autonomous trading platform via the Model Context Protocol.

Get real-time quotes, manage your portfolio, execute trades, run AI analysis, and more — all from your AI assistant.

Quick Start

1. Configure Your Client

No API key needed — @tradewink/mcp uses OAuth 2.1. The first time you run it, a browser window opens to authorize your tradewink.com account. Tokens are cached in ~/.tradewink/mcp/ and refresh automatically.

Automatic Setup (Recommended)

Auto-detect and configure all your installed AI clients with one command:

npx @tradewink/mcp setup

This detects and configures: Claude Code, Claude Desktop, VS Code (Copilot), Cursor, Windsurf, and OpenAI Codex CLI.

Manual Setup
Claude Code
claude mcp add tradewink -- npx -y @tradewink/mcp
Claude Desktop

Add to your claude_desktop_config.json:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "tradewink": {
      "command": "npx",
      "args": ["-y", "@tradewink/mcp"]
    }
  }
}
VS Code (Copilot)

Add to your VS Code settings (.vscode/settings.json or global settings):

{
  "mcp": {
    "servers": {
      "tradewink": {
        "command": "npx",
        "args": ["-y", "@tradewink/mcp"],
        "env": {
          "TRADEWINK_API_KEY": "tw_your_key_here"
        }
      }
    }
  }
}
Cursor

Add to .cursor/mcp.json (project) or ~/.cursor/mcp.json (global):

{
  "mcpServers": {
    "tradewink": {
      "command": "npx",
      "args": ["-y", "@tradewink/mcp"]
    }
  }
}
OpenAI Codex CLI
codex mcp add tradewink -- npx -y @tradewink/mcp
Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "tradewink": {
      "command": "npx",
      "args": ["-y", "@tradewink/mcp"]
    }
  }
}
Any MCP-Compatible Client

Any client that supports MCP stdio servers works:

npx @tradewink/mcp
2. Start Using It

Ask your AI assistant things like:

  • "What's my account balance?"
  • "Show me my open positions"
  • "Get a quote for AAPL"
  • "What are today's top market movers?"
  • "Analyze NVDA with AI"
  • "Add TSLA to my watchlist"
  • "What are my active trading strategies?"
  • "Show my trade history for the past week"

Available Tools

CategoryTools
Accountget_account, get_positions, get_portfolio_live
Watchlistget_watchlist, add_to_watchlist, remove_from_watchlist
Market Dataget_quote, batch_quote, get_historical, get_news, get_analyst_ratings, get_earnings, get_technical_analysis
Screenerget_market_movers, get_screener_results
Tradingplace_order, close_position, get_open_orders, cancel_order
Strategiesget_strategies, get_strategy, get_exit_strategies, get_sell_confidence
Trade Historyget_trades, get_trade_analytics, get_trade_executions, get_audit_log
AI Analysisask_ai, analyze_ticker, get_insights
Preferencesget_preferences, list_preference_options, update_preference, reset_preference
Schedulingschedule_analysis, list_scheduled_jobs, cancel_scheduled_job

Configuration

Environment VariableRequiredDefaultDescription
TRADEWINK_API_KEYNo—Skip the OAuth flow and use a manual API key (tw_...). Useful for headless CI.
TRADEWINK_ENDPOINTNohttps://tradewink-mcp.fly.dev/mcpCustom MCP server endpoint

You can also pass --endpoint as a CLI argument:

npx @tradewink/mcp --endpoint https://custom.example.com/mcp

Auth

OAuth 2.1 is the default. On first run a browser window opens to tradewink.com/mcp/authorize, you approve the request, and the bridge caches an access + refresh token pair at ~/.tradewink/mcp/<host>.json. Access tokens live for 1 hour and refresh automatically for 60 days. You can revoke access anytime from your dashboard.

Set TRADEWINK_API_KEY=tw_... to skip OAuth and use a manual key (e.g. for CI, sandboxes, or pinned long-lived access).

How It Works

This package runs a local MCP server over stdio and proxies every tool/resource call to the remote Tradewink MCP server over HTTPS. OAuth tokens are minted per-device and scoped to your account.

Your LLM Client ←stdio→ @tradewink/mcp ←HTTPS (Bearer token)→ Tradewink MCP Server

License

MIT

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.