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Outset

Registre officiel Recherche et web

AI-moderated research platform: create and launch studies and query interview results.

Code source Site web Documentation

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http outset 'https://api.outset.ai/mcp/'
Configuration JSON (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "outset": {
            "type": "http",
            "url": "https://api.outset.ai/mcp/"
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Outset MCP
  2. Connect from your client
  3. What your agent can do
  4. What's in this repo

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:launch scope)
  • 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):

FilePurpose
.claude-plugin/plugin.json + .mcp.jsonClaude Code plugin wrapping the remote server
.claude-plugin/marketplace.jsonMakes this repo installable as a Claude Code plugin marketplace
.cursor-plugin/marketplace.jsonSame, for Cursor's plugin system
gemini-extension.jsonGemini CLI extension (gemini extensions install <repo url>)
server.jsonManifest for the official MCP registry

Questions fréquentes

Qu'est-ce que Outset ?

AI-moderated research platform: create and launch studies and query interview results.

Comment installer Outset ?

Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http outset 'https://api.outset.ai/mcp/'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour Outset ?

Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.

Outset est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient Outset ?

Il est publié par Outset-AI. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.