Mcp Chainladder

Hands Claude the math to compute actuarial loss reserves through the chain-ladder method. Exposes eight tools over stdio: parse CSV triangles from disk, run volume-weighted or custom-selected development factors, project to ultimate, calculate IBNR by accident year, run Mack (1993) stochastic standard errors with cross-row covariance, and check Mack (1994) model diagnostics including inflation slope, calendar-year effects, and standardized residuals. Results match the textbook 10×10 triangle to twelve decimal places. You can exclude individual cells (outlier treatments), apply tail factors, toggle between incremental and cumulative, and ask Claude to interpret p-values on assumption tests. Pure calculation, not actuarial judgment. Python 3.10+, pipx installable, works in Claude Desktop, Cursor, and Cline. Licensed under standard PyPI terms.