DAG Studio MCP README
The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the DAG Studio MCP listing page.
dag-studio-mcp
Model Context Protocol (MCP) server for the DAG Studio causal-inference engine. It lets AI agents construct, analyze, and validate causal directed acyclic graphs (DAGs) using the same engine that powers the DAG Studio canvas.
Built and maintained by Black Swan Causal Labs. Listed in the RWE MCP Registry.
Tools
| Tool | What it does |
|---|---|
analyze_dag | Backdoor paths, minimal sufficient adjustment sets, identifiability |
parse_dagitty | Parse dagitty DSL (raw or R-wrapped) into the structured DAG model |
generate_code | R / Python analysis code for a DAG, plus a one-click DAG Studio URL |
check_overadjustment | Detect adjustment for mediators, colliders, and descendants of exposure |
simulate_data | Simulate data from a DAG under user-specified structural coefficients |
compute_bias | Empirical bias of an adjustment strategy against the simulated truth |
classify_effect_modification | Classify effect-modifier structure (direct, indirect, proxy, common-cause, pure interaction) |
get_canonical_example | Canonical teaching DAGs (confounding, M-bias, frontdoor, and others) |
validate_engine | Run the full canonical validation suite and report engine version |
Every analytical response carries an engine_version stamp, a concordance attestation, a diagnostics block with severity-coded flags, and citations to the underlying methods literature.
Validation
The engine is validated four ways for coherence: against Pearl (2009) theory, against the reference implementation dagitty (Textor et al. 2016), against DAG Studio's own analytical results, and empirically via compute_bias on simulated data.
- 35 canonical cases: T01 to T15 (structural identification) and EM01 to EM20 (effect modification), runnable live via
validate_engine. - A release-gate concordance check runs the engine head-to-head against dagitty (vendored at upstream commit
7a65777) and stamps the attestation surfaced in tool responses. - 93 unit and integration tests across the engine bindings, the tool layer, and the auth gate.
Hosted endpoint
The server runs as a Cloudflare Worker (Streamable HTTP):
Access is token-gated during the trial period. Request a token at jdiazdecaro@blackswancausallabs.com. Tokens are accepted either as a bearer header or as a ?token= query parameter (the query form exists for clients whose connector UI cannot set custom headers, such as the Claude.ai web connector).
Claude Code:
Claude.ai web: add a custom connector pointed at https://dagstudio-mcp.blackswancausallabs.com/mcp?token=<your token>.
Repository layout
dag-engine.js/dag-engine.d.ts: the analytical engine, a pure ESM module with no runtime dependenciessrc/tools/: one file per tool, each exporting{ InputSchema, OutputSchema, descriptor, handler }src/worker/: Cloudflare Worker transport and the token gate (auth.ts)src/index.ts: stdio entry point for local useci/: release-gate concordance harness against vendored dagittytests/: unit and integration tests (npm test)MCP_REQUIREMENTS.md: the v1 specificationFDA_GUIDANCE_ALIGNMENT.md: mapping of DAG Studio capabilities onto FDA draft RWE guidance protocol elements
The engine is developed alongside the DAG Studio canvas app and the vendored copy here is synced at release time. This repository is self-contained: clone it, npm install, and everything builds and tests without further setup.
Development
For interactive inspection: npx @modelcontextprotocol/inspector.
Protocol status
Built on @modelcontextprotocol/sdk (TypeScript). Current against the finalized MCP specification revision 2025-11-25. Migration to the 2026-07-28 revision is planned once stable SDK support ships.
License
Apache License 2.0 (see LICENSE).
Exception: ci/dagitty-src/ contains the dagitty reference engine (GPL-2.0, Textor et al.), vendored at upstream commit 7a65777 solely as a release-time CI fixture for the concordance check. It retains its own license, is excluded from the published npm package, and is not part of the deployed worker bundle.