# DAG Studio MCP

> DAG Studio MCP — com-blackswancausallabs-dagstudio-mcp. Use this tool when you need to analyze causal relationships and identify potential biases in your data. The DAG Studio MCP provides core functionality for causal DAG analysis, solving problems related to backdoor paths, adjustment sets, and bias simulation, and accepts DAGs as input, outputting adjustment sets and bias estimates. It is particularly useful in statistical research and data science contexts where understanding causal relationships is crucial.

Canonical page: https://skillsregistry.net/skills/com-blackswancausallabs-dagstudio-mcp  
JSON: https://api.skillsregistry.net/v1/skills/com-blackswancausallabs-dagstudio-mcp

## Description

Causal DAG analysis: backdoor paths, adjustment sets, bias simulation. Validated against dagitty.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.blackswancausallabs%2Fdagstudio-mcp)
- **Repository:** <https://github.com/Black-Swan-Causal-Labs/dagstudio-mcp>

## Use it

MCP endpoint published by the skill: `https://dagstudio-mcp.blackswancausallabs.com/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "com-blackswancausallabs-dagstudio-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-blackswancausallabs-dagstudio-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-blackswancausallabs-dagstudio-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt