MCPs › Data & APIs › causalMCP
An MCP server for causal effect estimation from observational data, powered by CausalPFN and EconML. It enables users to estimate treatment effects, compare models, and rank units for targeting through natural language queries on CSV data.
Not monetized yet
Turn causalMCP’s tool calls into revenue: one disclosed sponsored slot, 70% revenue share, fail-open by design.
Install causalMCP
For anyone using causalMCP — no Lulu account needed# stdio server — install per the repository README: https://github.com/mohitkr/causalmcp
Real-time weather for any city, built on the lulu-ads widget gallery. First-party, free forever.
View server →FAQ
causalMCP installs from source — follow the repository README.
Unrated out of 100, computed from cross-registry traction signals (installs, stars, registry presence) — never influenced by sponsorship.
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