LABSCO SUMMARY
studies:launch as its own scope is the right cut, because launching recruitment spends money on real participants.
Drafting a study is free and reversible; launching it recruits people and incurs cost. Separating those into different scopes means an agent can be given the whole authoring surface and still be unable to start a field. That is a more useful boundary than a generic read/write split, and it is the kind of thing only someone who has run research would think to separate.
What it is
Outset's endpoint for their AI user-research platform. The scopes tell the story: reading projects, reading and writing analytics, and a separate scope just for launching studies.
What you get
- Creating and editing studies — projects, sections, questions, screeners and quotas
- Configuring and launching recruitment campaigns against demographic criteria
- Querying results, reports and insights
- Reading organisation context: workspace, projects, org
Requirements
OAuth with PKCE and dynamic client registration, so a compliant client needs nothing pre-provisioned.
Setup effort
Paste a URL, then authorize — add the endpoint to your client, then approve the OAuth consent screen
USE CASES
Drafting a study
Build the sections, questions, screener and quotas without the ability to launch.
Fielding it
Configure the demographic criteria and launch recruitment — a separately scoped action.
Reading what came back
Query results, reports and insights from the same connection.
BEFORE YOU INSTALL
What to know first
Requires
- an MCP client that can reach a remote endpoint
- OAuth with PKCE and dynamic client registration — no pre-registration needed; scopes analytics:read/write, projects:read, studies:launch/read/write
INSTALLATION
Connect your client
Add the endpoint to your client, then approve the OAuth consent screen.
Server setup
https://api.outset.ai/mcp/Requirements
- OAuth with PKCE and dynamic client registration — no pre-registration needed; scopes analytics:read/write, projects:read, studies:launch/read/write
MCP Clients
Claude Code — Manual
claude mcp add --transport http outset https://api.outset.ai/mcp/Claude Code — Plugin
claude plugin marketplace add Outset-AI/outset-mcp
claude plugin install outset@outset-mcp