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Outset

Official registry Search and web

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

Source code Website Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http outset 'https://api.outset.ai/mcp/'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "outset": {
            "type": "http",
            "url": "https://api.outset.ai/mcp/"
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Outset MCP
  2. Connect from your client
  3. What your agent can do
  4. What's in this repo

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
Codex

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

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

Then authenticate with:

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:

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):

FilePurpose
.claude-plugin/plugin.json + .mcp.jsonClaude Code plugin wrapping the remote server
.claude-plugin/marketplace.jsonMakes this repo installable as a Claude Code plugin marketplace
.cursor-plugin/marketplace.jsonSame, for Cursor's plugin system
gemini-extension.jsonGemini CLI extension (gemini extensions install <repo url>)
server.jsonManifest for the official MCP registry

Frequently asked questions

What is Outset?

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

How do I install Outset?

It runs as a remote server. In Claude Code: claude mcp add --transport http outset 'https://api.outset.ai/mcp/'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does Outset need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is Outset open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains Outset?

It is published by Outset-AI. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.