mcpField
C
cotrader

cotrader

Remote
github.com/get-cotraderFinance0Updated 34w ago
Repository

About cotrader

cotrader is an MCP server for users who want to screen US stocks and inspect technical chart patterns through an AI assistant. It combines natural-language screening across more than 11,000 stocks with symbol search and historical price data.

Key features

  1. 01Natural-language stock screening
  2. 02Technical chart-pattern detection
  3. 03Market-wide pattern scans
  4. 04Ticker search by name or prefix
  5. 05Historical daily OHLCV data

Use cases

  1. 01Screening stocks by indicators and fundamentals
  2. 02Checking chart patterns for a ticker
  3. 03Finding stocks with a specified pattern
  4. 04Reviewing historical daily prices

MCP support

It exposes stock screening, pattern analysis, symbol search, and price-history tools to MCP clients. Connection requires an API key.

Configuration

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

Endpointhttps://api.getcotrader.com/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.

Tools

Details

From the project README

CoTrader MCP Server

AI-powered stock screening and chart pattern detection for Claude Desktop, Claude Code, Cursor, and other MCP-compatible AI assistants.

Screen 11,000+ US stocks using natural language and detect technical chart patterns — all from your AI assistant.

Tools

ToolDescription
screen_stocksScreen stocks using natural language (e.g., "RSI under 30 with price above 200 EMA")
detect_patternsDetect chart patterns for a specific stock (support/resistance, trendlines, channels, etc.)
scan_patternsScan the entire universe for a specific pattern type
search_symbolsSearch for ticker symbols by name or prefix
get_stock_barsGet historical daily OHLCV price data

Quick Start

1. Get an API Key

Sign up at getcotrader.com and create an API key at getcotrader.com/api-keys.

2. Connect Your AI Assistant

Claude Desktop

Open Settings > Integrations > Add and enter:

https://api.getcotrader.com/mcp?api_key=YOUR_API_KEY

Claude Code / Cursor / VS Code

Add to your MCP settings:

{
  "mcpServers": {
    "cotrader": {
      "url": "https://api.getcotrader.com/mcp",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}
3. Start Asking
  • "Screen for stocks with RSI under 30 and price above their 200-day EMA"
  • "Detect chart patterns for AAPL"
  • "Scan for stocks forming double bottoms"
  • "Show me NVDA's price history for the last 90 days"

Supported Screening Criteria

  • Price: close, open, high, low, price change (1d/5d/1m/3m/6m/1y)
  • Volume: volume, average volume, relative volume
  • Moving Averages: SMA/EMA (10, 20, 50, 100, 200 day)
  • Momentum: RSI (14), MACD, Stochastic
  • Volatility: Bollinger Bands, ATR
  • Fundamentals: market cap, P/E ratio, sector, industry

Supported Chart Patterns

  • Horizontal support/resistance levels
  • Rising and descending trendlines
  • Price channels
  • Double and triple bottoms
  • Pennants/triangles
  • Head and shoulders

Documentation

Full documentation: getcotrader.com/docs/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.