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Connect Attune to your AI assistant

Attune runs AI-led surveys and interviews by voice or chat. Its Model Context Protocol server lets the assistant you already use build, launch, and edit a study, read your organization’s business context, and analyze completed responses, all without leaving that assistant.

The server is remote and hosted by Attune. There is nothing to install and no API key to manage: you point your client at one URL and sign in with your Attune account.

https://mcp.tryattune.ai/mcp

Every client below talks to the same endpoint over streamable HTTP and authenticates with OAuth. The first tool call opens Attune’s sign-in page at login.tryattune.ai in your browser. Sign in with Google, or with your email address and password, using your work email. Then approve the requested scopes once and the connection stays active.

In ChatGPT, Codex, and Claude, the Attune plugin sets this up for you in one step: the plugin ships the server configuration plus Attune’s research skills.

Install the Attune plugin from ChatGPT’s plugin directory. It connects this server for you, so there is no connector to add by hand.

  1. Open Settings → Connectors → Add custom connector.

  2. Name the connector Attune and paste the server URL:

    https://mcp.tryattune.ai/mcp
  3. Click Connect and complete the Attune login. Attune’s tools appear in the tool menu of any new chat.

Terminal window
claude mcp add --transport http attune https://mcp.tryattune.ai/mcp

Then run /mcp and choose attune to complete the login.

Add the server to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (one project):

{
"mcpServers": {
"attune": {
"url": "https://mcp.tryattune.ai/mcp"
}
}
}

Add the server to .vscode/mcp.json in your workspace:

{
"servers": {
"attune": {
"type": "http",
"url": "https://mcp.tryattune.ai/mcp"
}
}
}

Add the server to ~/.codeium/windsurf/mcp_config.json:

{
"mcpServers": {
"attune": {
"serverUrl": "https://mcp.tryattune.ai/mcp"
}
}
}

Add the server to ~/.gemini/settings.json:

{
"mcpServers": {
"attune": {
"httpUrl": "https://mcp.tryattune.ai/mcp"
}
}
}

Install the Attune plugin from the Codex plugin directory, which also brings Attune’s skills. To connect only the server, or to use the Codex IDE extension, add it to ~/.codex/config.toml:

[mcp_servers.attune]
url = "https://mcp.tryattune.ai/mcp"

Register a remote server with transport HTTP (streamable HTTP), URL https://mcp.tryattune.ai/mcp, and OAuth authorization. Attune publishes RFC 9728 protected-resource metadata at https://mcp.tryattune.ai/.well-known/oauth-protected-resource, so clients that support OAuth discovery need no further configuration. Attune does not accept static API keys.

The login screen lists the scopes your client requested. Attune supports:

Scope What it allows
openid Confirms who you are
email Returns your email address, so your organization can restrict access by domain
guides:read Read interview guides and your organization’s business context
guides:write Create, edit, and publish interview guides, get participant interview links, and update business context
responses:read Read completed interview responses
offline_access Keep the connection alive without signing in again

Every tool call is scoped to your Attune organization, and a missing scope stops the call before it runs.

Ask your assistant:

  • “Survey my customers about the changes to our brand messaging.”
  • “Help me build an interview about churn.” — Attune confirms your business context, asks a few clarifying questions, and creates a draft guide you can open in the studio.
  • “Create a 10-minute guide to understand onboarding friction for SMB customers.”
  • “Summarize what participants said about pricing in my latest study.”
Tool Scope What it does
whoami guides:read Returns your user ID and email, every organization you belong to with your role in it, plus your department and level
suggest_interview_objectives guides:read Suggests research objectives tailored to your company and role
get_business_context guides:read Reads your organization’s stored research context
update_business_context guides:write Updates that context for the whole organization
list_interview_guides guides:read Lists guides in your organization
get_interview_guide guides:read Reads one guide in full
create_interview_guide guides:write Creates a draft guide from its objective argument, which can also appear in the web editor’s Refine panel
update_guide_settings guides:write Changes one guide-level setting per call — title, length, interviewer, intro, conclusion, branding, or how participants respond (voice, chat, or both)
edit_segments guides:write Adds, updates, or reorders a guide’s segments
edit_questions guides:write Adds, updates, or reorders the required questions of a structured segment
edit_sample_questions guides:write Adds, updates, or reorders the sample questions that steer a conversational segment
remove_from_guide guides:write Permanently removes one segment, question, or sample question
apply_flow guides:write Atomically rebuilds a guide’s segment order, sections, routing, and classification or multiple-choice conversions
publish_guide guides:write Publishes a guide so interviews can start from it
share_guide guides:write Returns a new participant interview link for a published guide, to give to participants
list_responses, get_response responses:read Reads completed interview responses
get_answers responses:read Reads answers across responses, for one question or one segment

If you belong to more than one organization, a call that names a guide or response uses that guide’s or response’s organization. Other calls take an organizationId argument to choose the organization; whoami lists yours.

Guide edits accept an expectedRev argument. Pass the revision you last read and Attune rejects the call if someone edited the guide in the studio meanwhile, rather than overwriting their work. edit_segments action add can create a classification segment with its complete classification configuration. Action update can replace that configuration; include every category you want to retain. To convert a structured or conversational segment, specify type: "classification" along with the classification configuration. get_interview_guide returns classification settings and stable category IDs for subsequent edits. Use apply_flow when changing segment order, sections, routing, or converting a classification segment to another type. List every segment to keep; an existing segment you aren’t changing needs only its id, and any field you leave out of an existing segment keeps its saved value, with two exceptions: a saved next route is kept only when you also leave out type, and a multiple-choice question and choices are kept only when you leave out both. To add, rename, reorder, or remove sections, pass sections as the complete ordered list (existing sections by id, new ones with a localKey and name) and place each new segment with sectionId or sectionLocalKey.

When your organization has multiple-choice segments enabled, edit_segments action add accepts type: "multiple-choice", a question, and 2–10 ordered choices with stable id and label values. Pass those same IDs on action update when editing or reordering choices; omit question and choices to edit only the segment title or objective. get_interview_guide returns the question, choice IDs and labels, and any choice-based display conditions. A referenced choice cannot be removed until its affected display conditions are repaired. Use edit_segments action reorder to change the order of a guide containing multiple-choice segments. Set selectionMode: "multiple" on the multiple-choice configuration to let participants choose one or more options; omitted mode means select one. Response tools return selectedChoices with every recorded ID and its label at interview time for multi-select answers. Historical single-choice answers continue to use choiceId and choiceLabel.

update_guide_settings action response_modes sets how participants respond. Pass modes as a non-empty list: ["voice"] for voice only, ["chat"] for chat only, or ["voice", "chat"] to let each participant pick before the interview starts. A guide offers voice or chat until you change it, and get_interview_guide returns the current list as responseModes. If chat is not available for your workspace yet, the call says so and changes nothing. A chat response costs 1 credit however long it runs; a chat that ends before the participant answers a question costs nothing. list_responses and get_response return each response’s responseMode, voice or chat. A chat response has no audio recording: its transcript is the typed conversation.

Attune applies basic abuse protection, not a usage quota:

  • 60 requests per minute per connection.
  • 300 requests per minute per organization, shared across every connection in it.

Over the limit, Attune returns HTTP 429 with a Retry-After header in seconds. Normal assistant use stays well under both.

On the free plan, suggest_interview_objectives also counts toward the hourly AI limit it shares with the Attune web editor. Past that limit, a call with refresh: true returns a message saying how many minutes to wait; a call without it still returns suggestions, which may be less tailored.

“Connection failed” or “401 Unauthorized”
  • Check that your Attune credentials are valid.
  • Ensure your Attune organization has MCP enabled (contact your administrator).
  • Sign out of the connector and reconnect to refresh the authorization.
The login window never opened
  • Check your browser’s popup blocker and allow popups for your assistant and the Attune login page.
  • Disconnect and reconnect the server.
The assistant cannot see Attune’s tools
  • Confirm the client lists the server as connected, not only configured.
  • Restart the client after editing a configuration file.
  • If a tool call fails with a permission error, the connection was authorized without the scope that tool needs — reconnect and approve the full list.

Email support@tryattune.ai. If you use ChatGPT, Codex, or Claude, start with the Attune plugin; for Cursor and other agents that read skills, see Attune skills for other agents.


ChatGPT and Codex are trademarks of OpenAI. Claude is a trademark of Anthropic, PBC. Cursor, Visual Studio Code, Windsurf, and Gemini are trademarks of their respective owners. Attune is not affiliated with them.