financial-mcp-server 0.1.1

MCP server for AI-powered stock analysis and paper trading

financial-mcp

MCP server for AI-powered stock analysis and paper trading. Exposes 14 tools over SSE for any MCP-compatible AI agent.

No API keys required. All market data comes from yfinance (free). Portfolio state is stored locally in SQLite.

Install

pip install financial-mcp

Quick Start

financial-mcp

Server starts on http://0.0.0.0:8520/sse.

Claude Desktop / Claude Code

Add to your MCP config:

{
  "mcpServers": {
    "financial-mcp": {
      "command": "uvx",
      "args": ["financial-mcp"]
    }
  }
}

Tools

Orchestration (4)

Tool	Description
analyze_ticker	Full analysis: fundamentals + momentum + composite score
analyze_portfolio	Portfolio summary with holdings, allocations, performance, risk
run_rebalance	Score universe, generate buy/sell signals, execute trades
scan_universe	Score a list of tickers and rank by composite score

Primitives (10)

Tool	Description
create_portfolio	Create a new paper trading portfolio
get_fundamentals	PE, EV/EBITDA, P/B, dividend yield, market cap, sector
get_momentum	30d/90d momentum, volatility, relative strength, drawdown
get_price	Current price for a ticker
score_ticker	Composite score (0-100) with component breakdown
get_holdings	Current portfolio holdings
get_trades	Trade history with optional status filter
execute_buy	Buy shares via paper broker
execute_sell	Sell shares via paper broker
check_risk	Stress score, scenario drawdowns, sector/geo allocation

Scoring Formula

3-signal composite (optional 4th with sentiment):

• Valuation (40%): PE, EV/EBITDA, P/B, dividend yield relative to sector medians
• Momentum (35%): 30d/90d price momentum, relative strength vs SPY, volatility
• Risk penalty (25%): Sector concentration, geographic concentration, max drawdown

Scores range 0-100. Buy threshold: 65. Sell threshold: 35.

Configuration

Default config is built-in. Override by placing a config.yaml in your working directory:

server:
  host: "0.0.0.0"
  port: 8520

scoring:
  weights:
    valuation: 0.40
    momentum: 0.35
    risk: 0.25
  buy_threshold: 65
  sell_threshold: 35

position_limits:
  moderate:
    max_position: 0.08
    max_sector: 0.30
    min_cash: 0.10

Example Usage

Once connected, an AI agent can:

> Create a $100K moderate portfolio
> Scan AAPL, MSFT, GOOGL, NVDA, META, AMZN, JPM, V
> Buy the top 3 scored tickers
> Check portfolio risk
> Run a full rebalance

License

MIT