ai.outset/mcp

Official

by Outset-AI

Outset

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

Create, launch, and analyze AI-moderated research studies with interview query tools.

README.md4 KBView on GitHub

Outset MCP

Connect AI agents to Outset — the AI-moderated research platform — via the Model Context Protocol.

The Outset MCP server is remote: there is nothing to install or run. Point your MCP client at the endpoint below and log in with your Outset account.

code

https://api.outset.ai/mcp/

Transport: Streamable HTTP (stateless JSON-RPC)
Auth: OAuth 2.1 with PKCE + Dynamic Client Registration — compliant clients connect with zero pre-registration
Full developer guide: Outset MCP — Integration Guide for Developers (OAuth flow, scopes, DCR details, testing)

Connect from your client

Claude (claude.ai / Desktop)

Settings → Connectors → Add custom connector, name it Outset, paste https://api.outset.ai/mcp/, then Connect to go through the OAuth consent flow. (Custom connectors require a Pro, Max, Team, or Enterprise plan.)

Claude Code

bash

claude mcp add --transport http outset https://api.outset.ai/mcp/

Or install as a plugin from this repo:

bash

claude plugin marketplace add Outset-AI/outset-mcp
claude plugin install outset@outset-mcp

Cursor

Or Settings → MCP → Add Server and paste the URL — Cursor handles registration and OAuth automatically.

ChatGPT

Enable Developer Mode under Settings → Apps & Connectors → Advanced settings, then Create a connector with https://api.outset.ai/mcp/ as the MCP server URL and OAuth as the auth method.

VS Code

bash

code --add-mcp '{"name":"outset","type":"http","url":"https://api.outset.ai/mcp/"}'

Gemini CLI

bash

gemini extensions install https://github.com/Outset-AI/outset-mcp

Codex

Add to ~/.codex/config.toml (or .codex/config.toml in your project):

toml

[mcp_servers.outset]
url = "https://api.outset.ai/mcp/"

Then authenticate with:

bash

codex mcp login outset

Anything else

Any MCP client that supports remote servers (Streamable HTTP + OAuth) works. For stdio-only clients, bridge with mcp-remote:

bash

npx -y mcp-remote https://api.outset.ai/mcp/

To explore the tool list interactively:

bash

npx @modelcontextprotocol/inspector https://api.outset.ai/mcp/

What your agent can do

Create and edit studies — projects, sections, questions, screeners, display logic, quotas, concepts
Configure and launch recruitment — sample size, reward, demographic filters (launching may incur fees and is gated behind the separate studies:launch scope)
Query results — reports, answers, topline insights, category summaries, highlight clips
Look up org context — workspaces, projects, organization info

The live tools/list response is the source of truth — new tools ship regularly. Scopes and org roles are enforced server-side; see the integration guide for the full scope table.

What's in this repo

Manifests for agent directories and marketplaces — the server itself is not here (it's remote):

File	Purpose
`.claude-plugin/plugin.json` + `.mcp.json`	Claude Code plugin wrapping the remote server
`.claude-plugin/marketplace.json`	Makes this repo installable as a Claude Code plugin marketplace
`.cursor-plugin/marketplace.json`	Same, for Cursor's plugin system
`gemini-extension.json`	Gemini CLI extension (`gemini extensions install <repo url>`)
`server.json`	Manifest for the official MCP registry

Install

claude_desktop_config.json

{
  "mcpServers": {
    "mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://api.outset.ai/mcp/"
      ]
    }
  }
}

Desktop config is stdio-only; this bridges via mcp-remote. Native remote: Settings > Connectors.