Server data from the Official MCP Registry
AI-moderated research platform: create and launch studies and query interview results.
AI-moderated research platform: create and launch studies and query interview results.
Remote endpoints: streamable-http: https://api.outset.ai/mcp/
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.
This plugin requests these system permissions. Most are normal for its category.
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/"
}
}
}From the project's GitHub README.
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/
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 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
Or Settings → MCP → Add Server and paste the URL — Cursor handles registration and OAuth automatically.
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.
code --add-mcp '{"name":"outset","type":"http","url":"https://api.outset.ai/mcp/"}'
gemini extensions install https://github.com/Outset-AI/outset-mcp
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/
studies:launch scope)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.
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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