# robins-i-mcp

> robins-i-mcp — black-swan-causal-labs-robins-i-mcp. Use this tool when you need to assess the risk of bias in non-randomized studies, as it provides a systematic approach to evaluating study quality and potential biases. The robins-i-mcp tool takes in study documents and target trial results, and outputs domain judgements with full provenance, enabling users to make informed decisions. It is particularly useful in research contexts where study quality assessment is crucial, such as in systematic reviews or meta-analyses.

Canonical page: https://skillsregistry.net/skills/black-swan-causal-labs-robins-i-mcp  
JSON: https://api.skillsregistry.net/v1/skills/black-swan-causal-labs-robins-i-mcp

## Description

An MCP server implementing the ROBINS-I V2 framework for risk-of-bias assessment in non-randomized studies, with deterministic algorithms and full provenance. It enables users to parse study documents, specify target trial results, answer signalling questions with evidence-bound quotes, and compute or override domain judgements.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vjc5oe7lgz)
- **Repository:** <https://github.com/Black-Swan-Causal-Labs/robins-i-mcp>

## Use it

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": "black-swan-causal-labs-robins-i-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/black-swan-causal-labs-robins-i-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/black-swan-causal-labs-robins-i-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