# Blackswancausallabs Dagstudio MCP server

Source: https://glimind.com/server/mcp-registry%2Fcom.blackswancausallabs%2Fdagstudio-mcp
Registry id: `mcp-registry/com.blackswancausallabs/dagstudio-mcp`
Status: auth-required (checked 2026-10-26T23:15:42.025Z)

## Measurements (30 days)

- Uptime: 100%
- Checks: 213
- Outages (90 days): 0

## Install

```json
{
  "mcpServers": {
    "blackswancausallabs-dagstudio-mcp-server": {
      "type": "http",
      "url": "https://dagstudio-mcp.blackswancausallabs.com/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http blackswancausallabs-dagstudio-mcp-server https://dagstudio-mcp.blackswancausallabs.com/mcp
```

## Tools (9)

- `analyze_dag`: Backdoor paths, minimal sufficient adjustment sets, identifiability
- `check_overadjustment`: Detect adjustment for mediators, colliders, and descendants of exposure
- `classify_effect_modification`: Classify effect-modifier structure (direct, indirect, proxy, common-cause, pure interaction)
- `compute_bias`: Empirical bias of an adjustment strategy against the simulated truth
- `generate_code`: R / Python analysis code for a DAG, plus a one-click DAG Studio URL
- `get_canonical_example`: Canonical teaching DAGs (confounding, M-bias, frontdoor, and others)
- `parse_dagitty`: Parse dagitty DSL (raw or R-wrapped) into the structured DAG model
- `simulate_data`: Simulate data from a DAG under user-specified structural coefficients
- `validate_engine`: Run the full canonical validation suite and report engine version

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.