How do I install Outset?

Outset is a remote plugin. You do not need to install anything locally. Add the server URL to your AI app's MCP configuration and you are ready to go.

Is Outset safe to use?

Yes. Outset passed MCP Marketplace's automated security scan with a score of 10/10 (low risk). Every server on MCP Marketplace is security-scanned before it's listed; see the full security report on this page for the findings and permissions.

What AI apps work with Outset?

Outset uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

Back to Browse

Outset MCP Server

by Outset AI

Developer ToolsLow Risk10.0MCP RegistryRemote

Free

Server data from the Official MCP Registry

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

About

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

Remote endpoints: streamable-http: https://api.outset.ai/mcp/

Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

Endpoint verified · Requires authentication · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "ai-outset-mcp": {
      "url": "https://api.outset.ai/mcp/"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

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.

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

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

Or install as a plugin from this repo:

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

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

Gemini CLI

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

Anything else

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

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

To explore the tool list interactively:

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

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Outset MCP Server

About

Security Report

Findings (1)

Permissions Required

How to Connect

Documentation

Outset MCP

Connect from your client

Claude (claude.ai / Desktop)

Claude Code

Cursor

ChatGPT

VS Code

Gemini CLI

Anything else

What your agent can do

What's in this repo

Reviews

No reviews yet

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