alpaca-market-mcp

MCP server for technical analysis with Alpaca market data. Computes Bollinger Bands, Moving Averages, Stochastics, candlestick patterns, and evaluates 11 trading strategies - all server-side, no Python execution needed on the client.

Installation

# Via uvx (recommended)
uvx alpaca-market-mcp

# Via pip
pip install alpaca-market-mcp

Configuration

Claude Desktop / Claude.ai

Add to your MCP config:

{
  "mcpServers": {
    "alpaca-market": {
      "command": "uvx",
      "args": ["alpaca-market-mcp"],
      "env": {
        "ALPACA_API_KEY": "your-api-key",
        "ALPACA_SECRET_KEY": "your-secret-key"
      }
    }
  }
}

Claude Code

Add to .mcp.json:

{
  "mcpServers": {
    "alpaca-market": {
      "command": "uvx",
      "args": ["alpaca-market-mcp", "--feed", "iex"],
      "env": {
        "ALPACA_API_KEY": "your-api-key",
        "ALPACA_SECRET_KEY": "your-secret-key"
      }
    }
  }
}

Environment Variables

Variable	Required	Description
`ALPACA_API_KEY`	Yes	Alpaca API key
`ALPACA_SECRET_KEY`	Yes	Alpaca secret key

CLI Options

alpaca-market-mcp [OPTIONS]

Options:
  --transport [stdio|streamable-http|sse]  Transport protocol (default: stdio)
  --host TEXT                               Host to bind (HTTP only)
  --port INTEGER                            Port to bind (HTTP only)
  --feed [iex|sip|otc]                      Data feed (default: iex)
  --env-file PATH                           Load env vars from file

Tools

`analyze_ticker`

Full multi-timeframe technical analysis (15min, 1h, 1d). Returns Bollinger Bands, Moving Averages (SMA 20/40/100/200), candlestick patterns, volume, and Stochastics.

`check_strategy`

Evaluate the 11 trading strategies from the options course. Returns condition-by-condition pass/fail with CUMPLIDA/PARCIAL/NO CUMPLIDA status.

`get_indicators`

Get a specific indicator's values for a single timeframe. Supports: bb, sma, ema, stoch, rsi, macd, atr, volume, candles.

`scan_tickers`

Scan multiple tickers for trading signals and active strategies.

`get_stock_bars_with_indicators`

Historical OHLCV bars with indicator columns attached.

Indicators

Indicator	Weight	Parameters
Bollinger Bands	50%	Period 20, Std 2.0
Moving Averages	25%	SMA 20, 40, 100, 200
Candlestick Patterns	15%	Body ratio classification
Volume	5%	SMA(20) ratio
Worden Stochastics	5%	K=14, D=3, Smooth=3

11 Trading Strategies

#	Strategy	Action
1	Cambio tendencia al alza (BB Hora)	CALL
2	Cambio tendencia a la baja (BB Hora)	PUT
3	Rebote punto medio bajista (BB Dia)	PUT
4	Rebote punto medio alcista (BB Dia)	CALL
5	Salido BB sin volatilidad al alza (15 Min)	PUT
6	Efecto iman bajista (MA Hora + BB 15 Min)	CALL
7	Efecto iman alcista (MA Hora + BB 15 Min)	PUT
8	Cambio tendencia al alza (BB 15 Min)	CALL
9	Cambio tendencia a la baja (BB 15 Min)	PUT
10	Lateral a alcista mediano plazo (MAs)	CALL
11	Lateral a bajista mediano plazo (MAs)	PUT

Development

# Install dev dependencies
uv pip install -e ".[dev]"

# Run tests
uv run pytest

# Lint
uv run ruff check src/

License

MIT

Metadata

Release files for alpaca-market-mcp 0.2.1

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Source distribution (sdist)

Source distribution for alpaca-market-mcp 0.2.1
File	Size	Uploaded
alpaca_market_mcp-0.2.1.tar.gz	30.2 kB	Apr 21, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for alpaca-market-mcp 0.2.1
File	Interpreter	ABI	Platform	Reset
alpaca_market_mcp-0.2.1-py3-none-any.whl 33.4 kB Apr 21, 2026	Python 3	none	any	Details

Total release size: 63.7 kB

Release files / alpaca_market_mcp-0.2.1.tar.gz

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Size	33.4 kB
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Uploaded via	`uv/0.9.21 {"installer":{"name":"uv","version":"0.9.21","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":null,"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}`