About Causal Panopticon MCP
Causal Panopticon MCP is an MCP server in the Scraping category: causal Panopticon is a cross-domain causal discovery and inference engine for AI agents, exposed via the Model Context Protocol.
Install
git clone https://github.com/apifyforge/causal-panopticon-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (8)
compute_counterfactualPearl's SCM: abduction → action → prediction
Parameters not published.
detect_confoundersGraph structure + partial correlation analysis
Parameters not published.
discover_cross_domain_causesPC / GES / NOTEARS meta-algorithm + transfer entropy
Parameters not published.
estimate_interventional_effectDo-calculus (three rules), back-door, front-door, IV
Parameters not published.
optimize_causal_experimentCausal Bayesian optimization, Expected Improvement
Parameters not published.
simulate_causal_agentsBayesian persuasion, Kamenica-Gentzkow concavification
Parameters not published.
transport_causal_effectBareinboim-Pearl transportability, s-admissibility
Parameters not published.
validate_causal_modelDAG acyclicity, Markov compatibility, faithfulness, BIC
Parameters not published.
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