SaliencyLab MCP & CLI, for the AI client you already use.
Use your preferred AI client to explore creative evidence, run diagnostics and simulate buyer questions. MCP and CLI are optional paths into the same workspace.
Copy the connector URL
You'll paste this into Claude in the next step.
Go to Claude → Connectors
In Claude Desktop or claude.ai, go to Settings → Connectors → Add custom connector. Name it SaliencyLab and paste the URL.
How does scoring work?
Four things an agent asks before it ships. Every call runs through the same auth, quota, and workspace-tenancy logic as the in-app agent.
14 tools. One dispatch layer.
An external agent gets exactly the permissions its key's owner has, no more. Click a card to see what it returns; on a phone, swipe to see the rest.
get_usageRemaining quota
Click to preview ↻list_projectsProjects in the workspace
Click to preview ↻request_upload_urlSigned upload URL
Click to preview ↻upload_assetRegister a scoreable asset
Click to preview ↻score_creativeRun RoastIQ
Click to preview ↻check_statusPoll a running job
Click to preview ↻get_reportRead a completed report
Click to preview ↻compare_creativesCompare 2+ scored ads
Click to preview ↻search_benchmarksBenchmark stats by slice
Click to preview ↻list_personasBrowse BuyerLens personas
Click to preview ↻run_buyerlensSynthetic buyer interviews
Click to preview ↻list_workspacesWorkspaces this key can act in
Click to preview ↻create_projectCreate a new project
Click to preview ↻get_panel_resultsBuyerLens recap for agents
Click to preview ↻Questions before you connect.
Whatever your team already has open. Claude Desktop and Claude Code are the two we've built and tested end-to-end. Any MCP-compatible client — ChatGPT, Cursor, and others — can connect in principle; we've only tested Claude ourselves so far.