Outset MCP
MCP serverDev toolsThis app gives your AI access to an AI-moderated research platform. Once it is added, your AI can create and launch research studies for you, then look through the interview results to answer your questions. This means you can go from research question to findings without handling the studies yourself.
Available today. Use it from your connected AI after setup.
No other account needed.
After adding the app, ask your AI to create and launch your first study. Once interviews are done, ask it questions about the results.
Then ask your AI: use Outset MCP
What your AI can do with it
- Create new research studies
- Launch studies so interviews can begin
- Query interview results to find answers
- Pull specific findings out of completed interviews
From the project's README
As published by outset-ai/outset-mcp in README.md.
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 |
Signals
- Last commit
- Jul 2026
Advanced
- Delivery
- mcp MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
- Catalog kind
- mcp-server
- Gateway key
ai-outset-mcp- Source
- github.com/outset-ai/outset-mcp
- Hosted endpoint
https://api.outset.ai/mcp/