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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.
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○ Schema Quality
— Protocol
— Reliability
○ Docs & Maintenance
○ Security Hygiene
— Schema Interpretability
Schema Quality
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42% weight
Protocol Compliance
N/A
Local server
Reliability
N/A
Local server
Docs & Maintenance
—
25% weight
Security Hygiene
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33% weight