v0.0.1 - Initial Release
馃殌 Initial Release of portfolio-mcp
A portfolio analysis MCP server powered by mcp-refcache.
Features
- 26 MCP Tools for comprehensive portfolio analysis
- Portfolio Management: Create, read, update, delete portfolios
- Analysis Tools: Metrics, returns, correlations, drawdowns, covariance
- Optimization: Efficient frontier, Monte Carlo simulation
- Data Sources: Yahoo Finance (stocks/ETFs), CoinGecko (crypto), Synthetic (GBM)
- Reference-Based Caching: Large datasets cached via mcp-refcache
Installation
# Via uvx (recommended)
uvx portfolio-mcp stdio
# Via pip
pip install portfolio-mcp
portfolio-mcp stdio
# Via Docker
docker run --rm -i ghcr.io/l4b4r4b4b4/portfolio-mcp:latest python -m app stdioQuality
- 163 tests passing
- 81% code coverage
- Full type hints
- Pydantic models for all I/O