Outset MCP
OfficialClick on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Outset MCPShow me the results from my most recent study"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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-mcpCursor
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-mcpCodex
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 outsetAnything 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/Related MCP server: clinicaltrialsgov-mcp-server
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 Code plugin wrapping the remote server |
| Makes this repo installable as a Claude Code plugin marketplace |
| Same, for Cursor's plugin system |
| Gemini CLI extension ( |
| Manifest for the official MCP registry |
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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