About DAG Studio MCP
DAG Studio MCP is an MCP server in the Science category: causal DAG analysis: backdoor paths, adjustment sets, bias simulation. Validated against dagitty.
Install
git clone https://github.com/Black-Swan-Causal-Labs/dagstudio-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 (9)
analyze_dagBackdoor paths, minimal sufficient adjustment sets, identifiability
Parameters not published.
check_overadjustmentDetect adjustment for mediators, colliders, and descendants of exposure
Parameters not published.
classify_effect_modificationClassify effect-modifier structure (direct, indirect, proxy, common-cause, pure interaction)
Parameters not published.
compute_biasEmpirical bias of an adjustment strategy against the simulated truth
Parameters not published.
generate_codeR / Python analysis code for a DAG, plus a one-click DAG Studio URL
Parameters not published.
get_canonical_exampleCanonical teaching DAGs (confounding, M-bias, frontdoor, and others)
Parameters not published.
parse_dagittyParse dagitty DSL (raw or R-wrapped) into the structured DAG model
Parameters not published.
simulate_dataSimulate data from a DAG under user-specified structural coefficients
Parameters not published.
validate_engineRun the full canonical validation suite and report engine version
Parameters not published.
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