# Outset

> Use this tool when you need to design, execute, and analyze research studies, and query interview results to gain valuable insights. Outset solves problems related to data collection, study management, and result analysis, providing a streamlined interface for creating and launching studies, and outputting actionable research findings. It is ideal for researchers, academics, and professionals seeking to collect and interpret data through AI-moderated interviews.

Canonical page: https://skillsregistry.net/skills/ai-outset-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ai-outset-mcp

## Description

AI-moderated research platform: create and launch studies and query interview results.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.outset%2Fmcp)
- **Repository:** <https://github.com/Outset-AI/outset-mcp>

## Use it

MCP endpoint published by the skill: `https://api.outset.ai/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": "ai-outset-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-outset-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-outset-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