Black-Swan-Causal-Labs/dag-studio-webmcp
github analyzed ed7aa63
Read and edit a live DAG Studio canvas through its predefined WebMCP tools.
Black-Swan-Causal-Labs/dag-studio-webmcp is an MCP server distributed on github, maintained by Black-Swan-Causal-Labs, tracked here since September 2026. It has shipped 0 releases and exposes 9 tools. Tools include add_edge, add_node, analyze_current_dag, check_adjustment_set, generate_analysis_code, get_current_dag, and 3 more. Its composite risk grade is A — an inferred review prompt computed from observed signals, not a verdict.
what we found
tools
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add_edgeAdds a directed causal claim; duplicate, self, and cyclic edges are rejected. -
add_nodeAdds a researcher-reviewable variable to the visible canvas. -
analyze_current_dagReturns open backdoor paths, minimal sufficient adjustment sets, identifiability, and diagnostics. -
check_adjustment_setChecks a proposed set against the encoded backdoor paths. -
generate_analysis_codeGenerates R/dagitty or Python/NetworkX code for the live graph. -
get_current_dagReads live nodes, roles, positions, directed edges, exposure, and outcome. -
remove_edgeRemoves a directed causal claim. -
remove_nodeRemoves a node and its incident edges. -
simulate_current_dagRuns the existing linear Gaussian SEM for the live graph, opens the visible simulation result, and returns bounded summaries, correlations,…
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