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
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.
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 GitHubFrom 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
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:launchscope) - 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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