Black-Litterman Portfolio Optimization MCP Server
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# Black-Litterman Portfolio Optimization MCP Server [](https://pypi.org/project/black-litterman-mcp/) [](https://pypi.org/project/black-litterman-mcp/) [](LICENSE) **Black-Litterman portfolio optimization** MCP server for AI agents Works with Claude Desktop, Windsurf IDE, Google ADK, and any MCP-compatible AI ## Features - **Portfolio Optimization** - Calculate optimal weights using Black-Litterman model - **Investor Views** - Express views like "AAPL will return 10%" or "NVDA will outperform MSFT" - **Backtesting** - Validate strategies with historical data - **VaR Warnings** - Auto-warn on overly optimistic predictions using EGARCH model - **Multiple Assets** - S&P 500, NASDAQ 100, ETF, Crypto, and custom data support --- ## Quick Start (Claude Desktop) ### Step 1: Find uvx path Run in terminal: ```bash which uvx # Example output: /Users/USERNAME/.local/bin/uvx ``` > If uvx is not installed: `curl -LsSf https://astral.sh/uv/install.sh | sh` ### Step 2: Configure Claude Desktop Config file location: - **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json` - **Windows**: `%APPDATA%\Claude\claude_desktop_config.json` File content (replace with your uvx path): ```json { "mcpServers": { "black-litterman": { "command": "/Users/USERNAME/.local/bin/uvx", "args": ["black-litterman-mcp"] } } } ``` ### Step 3: Restart Claude Desktop **Cmd+Q** (macOS) or fully quit and restart ### Step 4: Use Ask Claude: > "Optimize a portfolio with AAPL, MSFT, GOOGL. I think AAPL will return 10%." > **First run**: S&P 500 data auto-downloads (~30 seconds) > **Tip**: Want charts or dashboards? Just ask: "Show me a dashboard with the results" or "Create a visualization of the portfolio weights" ### Example Use Cases Try these prompts with C…
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