alpaka-mcp

alpaka-mcp

MCP server and CLI for trading stocks, ETFs, and crypto via Alpaca, enabling natural language trading through AI assistants and terminal with paper trading defaults.

Category
Visit Server

README

<p align="center"> <img src="https://raw.githubusercontent.com/vikrambtech2025-png/alpaka-mcp/main/assets/banner.png" alt="alpaka-mcp banner" width="100%" /> </p>

<h1 align="center">🦙 alpaka-mcp</h1>

<p align="center"> <strong>Trade US stocks, ETFs, and crypto through AI assistants and the terminal</strong> </p>

<p align="center"> <a href="https://github.com/vikrambtech2025-png/alpaka-mcp/actions"><img src="https://github.com/vikrambtech2025-png/alpaka-mcp/workflows/CI/badge.svg" alt="CI"></a> <a href="https://github.com/vikrambtech2025-png/alpaka-mcp/blob/main/LICENSE"><img src="https://img.shields.io/github/license/vikrambtech2025-png/alpaka-mcp" alt="License"></a> <img src="https://img.shields.io/badge/python-3.11+-blue" alt="Python 3.11+"> <img src="https://img.shields.io/badge/mcp-server-brightgreen" alt="MCP Server"> <a href="https://alpaca.markets"><img src="https://img.shields.io/badge/alpaca-py-0.30+-orange" alt="alpaca-py"></a> </p>

<p align="center"> 16 MCP tools • 12 CLI commands • Rate limiting • Retry • Structured logging • Live trading guard </p>


What is this?

alpaka-mcp is a production-ready MCP server + CLI that connects AI assistants (Claude Desktop, Cursor, VS Code Copilot) and your terminal directly to the Alpaca Trading API. Trade stocks, ETFs, and crypto with natural language — or from the command line.

Built on alpaca-py and the MCP Python SDK.

Defaults to paper trading — real market data, simulated funds, zero real money at risk.


Quick Start

1. Get Alpaca API Keys (free)

Sign up at alpaca.markets → Paper Trading → API Keys

2. Install

git clone https://github.com/vikrambtech2025-png/alpaka-mcp.git
cd alpaka-mcp
uv sync

3. Configure

cp .env.example .env
# Add your API keys to .env

4. Run

uv run alpaka-mcp          # MCP server (stdio for Claude/Cursor)
uv run alpaka account      # CLI — check account
uv run mcp dev src/alpaka_mcp/server.py  # MCP Inspector

Connect to AI Assistants

<details> <summary><strong>Claude Desktop</strong></summary>

Add to %AppData%\Claude\claude_desktop_config.json:

{
  "mcpServers": {
    "alpaka": {
      "command": "uv",
      "args": ["--directory", "C:\\path\\to\\alpaka-mcp", "run", "alpaka-mcp"],
      "env": {
        "ALPACA_API_KEY": "your_key",
        "ALPACA_SECRET_KEY": "your_secret",
        "ALPACA_PAPER": "true"
      }
    }
  }
}

</details>

<details> <summary><strong>Cursor</strong></summary>

Add to .cursor/mcp.json in your project root:

{
  "mcpServers": {
    "alpaka": {
      "command": "uv",
      "args": ["--directory", "/path/to/alpaka-mcp", "run", "alpaka-mcp"],
      "env": {
        "ALPACA_API_KEY": "your_key",
        "ALPACA_SECRET_KEY": "your_secret",
        "ALPACA_PAPER": "true"
      }
    }
  }
}

</details>

<details> <summary><strong>VS Code</strong></summary>

Add to .vscode/mcp.json:

{
  "servers": {
    "alpaka": {
      "command": "uv",
      "args": ["--directory", "/path/to/alpaka-mcp", "run", "alpaka-mcp"],
      "env": {
        "ALPACA_API_KEY": "your_key",
        "ALPACA_SECRET_KEY": "your_secret",
        "ALPACA_PAPER": "true"
      }
    }
  }
}

</details>


MCP Tools (16)

<table> <tr><th>Account</th><th>Trading</th><th>Positions</th></tr> <tr> <td valign="top">

Tool Description
get_account Balance, equity, buying power, day trades
get_portfolio All open positions with P&L

</td> <td valign="top">

Tool Description
buy Place buy order (market/limit/stop/stop-limit)
sell Place sell order (market/limit)
get_orders List orders by status and symbols
cancel_order Cancel a specific order
cancel_all_orders Cancel all open orders

</td> <td valign="top">

Tool Description
get_position Single position details
close_position Liquidate (full or partial)

</td> </tr> </table>

<table> <tr><th>Stock Data</th><th>Crypto Data</th><th>Discovery</th></tr> <tr> <td valign="top">

Tool Description
get_stock_quote Latest bid/ask quote
get_stock_bars Historical OHLCV bars
get_stock_snapshot Full snapshot (trade, quote, daily, 1-min)

</td> <td valign="top">

Tool Description
get_crypto_quote Latest crypto bid/ask
get_crypto_bars Historical crypto OHLCV bars

</td> <td valign="top">

Tool Description
search_assets Search stocks/ETFs/crypto by name or symbol
get_market_clock Market open/close status

</td> </tr> </table>


CLI Commands (12)

alpaka account                    # Account balance & buying power
alpaka portfolio                  # Open positions with color-coded P&L
alpaka quote AAPL                 # Bid/ask quote (stocks or crypto)
alpaka buy AAPL --qty 10          # Buy 10 shares
alpaka buy BTC/USD -n 500         # Buy $500 of Bitcoin
alpaka sell AAPL --qty 5          # Sell 5 shares
alpaka orders                     # List open orders
alpaka orders --status closed     # List filled orders
alpaka cancel <order-id>          # Cancel specific order
alpaka cancel-all                 # Cancel everything open
alpaka bars AAPL --tf 1Day        # Historical bars
alpaka clock                      # Is the market open?
alpaka search apple               # Find tradeable assets

All commands support --json for machine-readable output:

$ uv run alpaka account --json
{
  "status": "ACTIVE",
  "equity": "100000.00",
  "buying_power": "200000.00",
  "cash": "100000.00",
  "portfolio_value": "100000.00",
  "daytrade_count": 0,
  "pattern_day_trader": false,
  "mode": "paper"
}

Production Features

Feature How It Works
Resilient Client Transparent proxy wraps every API call with rate limiting + retry
Rate Limiting 3 independent token buckets (200 req/min each) — trading, stock data, crypto
Retry + Backoff 3 attempts with 1s/2s/4s exponential backoff on 429, 500, connection errors
Non-Blocking Async MCP tools use asyncio.to_thread() — event loop never blocks
Structured Logging JSON audit trail: logs/trades.jsonl + logs/errors.jsonl
Input Validation Symbols, quantities, prices, order types validated before API calls
Live Trading Guard Requires ALPACA_LIVE_CONFIRM=true + 5s countdown for real money
Config Validation Rejects placeholder API keys with clear setup instructions
Thread Safety lru_cache client initialization, no mutable global state
CLI Error Handling Every command wrapped — clean errors, no tracebacks

Architecture

src/alpaka_mcp/
├── server.py          # MCP server entry point (stdio)
├── cli.py             # 12 Typer commands + JSON output
├── config.py          # pydantic-settings + credential validation
├── clients.py         # ResilientClient proxy (rate limit + retry + async)
├── utils.py           # Response formatting
├── logging.py         # Structured JSON logging
├── rate_limiter.py    # Token bucket rate limiters (sync + async)
├── retry.py           # Exponential backoff (sync + async)
├── validation.py      # Input validation
└── tools/             # 16 MCP tools
    ├── account.py     # get_account, get_portfolio
    ├── trading.py     # buy, sell, get_orders, cancel_order, cancel_all
    ├── positions.py   # get_position, close_position
    ├── stock_data.py  # get_stock_quote, get_stock_bars, get_stock_snapshot
    ├── crypto_data.py # get_crypto_quote, get_crypto_bars
    └── discovery.py   # search_assets, get_market_clock

Docker

# MCP server
docker compose up alpaka-mcp

# CLI via docker
docker compose run --rm alpaka-cli account
docker compose run --rm alpaka-cli portfolio

Logs persist in a Docker volume at /app/logs.


Environment Variables

Variable Default Description
ALPACA_API_KEY (required) Your Alpaca API key
ALPACA_SECRET_KEY (required) Your Alpaca secret key
ALPACA_PAPER true Paper trading mode
ALPACA_LIVE_CONFIRM false Must be true for live trading
ALPACA_LOG_DIR logs Log file directory
ALPACA_LOG_LEVEL INFO Logging verbosity

Testing

# Unit tests (no API keys needed)
uv run pytest tests/ --ignore=tests/test_integration.py -v

# Integration tests (needs real paper API keys)
ALPACA_API_KEY=pk_xxx ALPACA_SECRET_KEY=sk_xxx uv run pytest tests/test_integration.py -v

Safety

  • Paper trading by default — real money requires explicit opt-in
  • Live trading requires both ALPACA_PAPER=false AND ALPACA_LIVE_CONFIRM=true
  • 5-second countdown on live trading startup
  • All errors formatted cleanly — no tracebacks sent to LLMs
  • Rate limiting prevents accidental API abuse
  • Structured audit trail for every trade

License

MIT


<p align="center"> Built with care by <a href="https://github.com/vikrambtech2025-png">Vikram</a> </p>

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured