Minds: Synthetic Market Research Panels

Minds MCP Server

Run AI market research from your assistant: build synthetic Audiences and run Studies for concept testing, message testing, and segment comparison.

Endpoint: https://getminds.ai/mcp (streamable HTTP) Docs: https://getminds.ai/mcp/setup Quick-start guide: https://minds-ai-co.github.io/minds-mcp/ Technical reference: https://minds-mcp.readthedocs.io/en/latest/ GitBook: https://minds-1.gitbook.io/minds-mcp/ Client compatibility: https://minds-mcp-compatibility.pages.dev/ Setup generator: https://minds-mcp-setup-generator.netlify.app/ Public API explorer: https://minds-api-explorer.vercel.app/?utm_source=content&utm_medium=content&utm_campaign=content-seo-mcp-reference&utm_content=mcp-repository-api-explorer API + MCP integration lab: https://minds-api-mcp-integration-lab-bba685.gitlab.io/?utm_source=content&utm_medium=content&utm_campaign=content-seo-mcp-reference&utm_content=mcp-repository-integration-lab Archived release: https://doi.org/10.5281/zenodo.21711429 Auth: OAuth 2.1 with PKCE (dynamic client registration or Client ID Metadata Documents), or a Minds API key (Authorization: Bearer minds_…)

This repository is documentation for a hosted MCP server. There is no code to install or run. The server is operated by Minds and the implementation lives in our application, not here.

Documentation maintenance

reference/ is the single source for maintained integration content. Read the Docs and GitBook publish the same Markdown through repository sync. GitHub Pages, Cloudflare Pages, and the Netlify setup generator are intentionally thin, platform-specific surfaces; Zenodo preserves versioned release snapshots. See DOCUMENTATION.md for the publishing contract.

What it does

Minds is a synthetic market research platform. This MCP server lets ChatGPT, Claude, Cursor, and any other MCP client run customer research end to end without leaving the assistant.

Describe an audience in a brief ("German Gen Z grocery shoppers", "enterprise IT buyers in fintech") and the server runs deep web research to ground that audience in government statistics, peer-reviewed studies, and industry reports rather than in generic model priors. Then ask the Audience a question, run a structured Study, and export the results.

Typical jobs:

• Concept testing and message testing before creative production
• Ad pretesting, landing page audits, and packaging tests with per-segment reactions
• Buyer persona validation and objection discovery for B2B go to market
• Segment comparison and positioning checks across markets
• Screening research hypotheses before commissioning fieldwork with real respondents

Studies run durably server side, so a long study survives the chat session that started it. Results export to PDF, DOCX, PPTX, Markdown, CSV, XLS, and SPSS SAV.

Scope. Minds does not replace representative human fieldwork. It replaces the slow first pass: sharpening the question, surfacing objections, and deciding which assumptions deserve real-respondent validation.

Setup

ChatGPT

Enable developer mode under Settings → Security and login, then open Plugins and select the plus button. Add https://getminds.ai/mcp as a public HTTPS connection, choose OAuth, and sign in to Minds. Availability depends on your account and workspace policy.

Study results can render as interactive widgets inline. See the official OpenAI connection guide and the Minds setup guide.

Claude Desktop and claude.ai

Customize, then Connectors, then add https://getminds.ai/mcp as a remote connector and authorize via OAuth.

Claude Code

claude mcp add --transport http mindsai https://getminds.ai/mcp \
  --header "Authorization: Bearer minds_YOUR_API_KEY"

Cursor

Settings, then MCP, then add https://getminds.ai/mcp and authorize via OAuth. The repository also contains a Marketplace-ready Cursor plugin manifest at .cursor-plugin/plugin.json; its MCP configuration is intentionally kept in cursor.mcp.json so the shared Agent Plugins configuration can retain the portable streamable-http transport name.

Google Antigravity

agy plugins install https://github.com/minds-ai-co/minds-mcp

The root plugin.json and mcp_config.json make this repository an Antigravity plugin. Antigravity discovers OAuth from the hosted endpoint; authenticate under Settings, then Customizations. To add only the server, run agy mcp add --type http minds https://getminds.ai/mcp or put {"mcpServers": {"minds": {"serverUrl": "https://getminds.ai/mcp"}}} in ~/.gemini/config/mcp_config.json. Full guide: https://getminds.ai/guide/integration-antigravity

Gemini CLI remains supported for Google Cloud enterprise and API-key users. Its legacy extension manifest stays available as gemini-extension.json.

ChatGPT and Codex Plugins

The repository includes the shared plugin package at .codex-plugin/plugin.json and its remote server configuration in .mcp.json. The public directory listing uses the same hosted endpoint and maintained reference content.

VS Code (Copilot), Windsurf, Langdock, Open WebUI

Add https://getminds.ai/mcp as a remote MCP server. Full per-client instructions, including API key setup, are at https://getminds.ai/mcp/setup.

API keys

Generate one in the Minds app under Settings → API Keys. Keys start with minds_ and are passed as Authorization: Bearer minds_....

Tools

The server advertises 45 tools. Clients read the current schemas at runtime; the full list with access levels is in reference/tools.md.

Tool	What it does
list_audiences	Lists the authenticated user's Audiences, most recently updated first, one page at a time (limit, default 20, and offset; nextOffset continues), with Mind counts, sharing state, and links.
import_audience_sources	Imports supplied UTF-8 text, Markdown, CSV and JSON research files into account-owned storage.
create_audience_from_brief	Researches a free-text population brief and builds a new Audience of Minds with explicit profiles and exact segment allocation.
get_audience_creation_progress	Reads progress and never starts or retries anything: an Audience creation by operationId, with its members’ training; or an existing Audience by audienceId, with its member training and background research, or with recalibrationId one recalibration’s status, retained result or terminal error.
render_audience_review	Shows source research, distributions, proposed Minds, the draft and training for one or more Audience operations, display only: the user confirms or asks for changes in chat.
get_audience_limits	Returns the authenticated account's current plan (planName, as the app names it), its Audience size allowance (per-Audience cap including any team or contract allowance, customSizeMax, per-mode ceilings) and the synthetic responses left, read live; it supersedes limits stated elsewhere.
ask_audience	Asks exactly one standalone question of one existing Audience.
export_audience	Exports an Audience brief, or with kind "validation_report" the report of its validations (overall score calculation, every KPI, per-question answer shares, provenance), through the same renderer used by the web app.
duplicate_audience	Permanently copy an Audience with independent copies of its Minds and all they know.
recalibrate_audience	Changes an existing Audience in place: it keeps its id, its Minds keep theirs (except copies below), and no Mind is deleted.
manage_audience_support	Manage owner-issued, expiring staff access to one Audience’s composition and receipts.
list_studies	Lists the authenticated user's Studies, most recently updated first, one page at a time: limit (default 20) and offset, with nextOffset to continue.
create_study	Creates a Study workspace from existing Audiences or inline Audience configurations.
ask_study	Submits exactly one respondent-visible question: one standalone question, or one adaptive follow-up whose wording could not be known before earlier results.
get_study_status	Returns Study progress, per-Audience results, original Mind responses, links and export status.
render_study_results	Shows the results of finished questions (summary, key findings, Audience breakdowns, Mind responses): one question, or a run's finished questions while the rest still run.
export_study	Starts an asynchronous export of Study results and returns an export job ID.
duplicate_study	Permanently copy a Study with its questions and results over the same Audiences.
export_heatmap	Exports a completed website heatmap from a Study result, identified by the message ID reported with the completed result.
get_study_heatmap	Reads saved heatmaps of an assigned question asset.
start_study_heatmap	Starts attention analysis of an assigned image, video or website.
export_mind	Generates a branded profile for one existing Mind, identified by exact ID or name (partial names and typos resolve to the closest).
get_shared_mind_knowledge	Read shared Mind sources and assessments.
create_study_plan	Creates a non-executing draft in an existing Study with its Audiences already attached.
revise_study_plan	Revises one saved draft at its current draft.id and draft.revision without starting research.
get_study_plan	Reads the latest saved revision and full review of one draft.
attach_study_audiences	Adds existing accessible Audiences without removing others, planning or starting research.
render_study_plan	Shows a saved Study draft at its current revision for interactive review and confirmation.
start_study_run	Runs one reviewed draft revision after explicit confirmation in a later user turn; skipping review is not confirmation.
resume_study_run	Resumes an existing plan-limited Study run in place after explicit user approval and the required paid-plan entitlement.
cancel_study_question	Stops one standalone Study question by runId, or studyId and questionId: queued or preparing stops at once, being answered stops at its next step.
update_item	Renames a Study or Audience or moves it into a folder.
set_sharing	Turns a Study's or Audience's public link or team sharing on or off.
list_research_methods	Reads the fixed Minds research-method catalog in one operation, including availability, complexity and fallback method.
list_study_drafts	Lists a page of unfinished Study draft summaries, newest first, or returns the complete saved planning state for one exact draft ID.
list_study_templates	Lists your own and team-shared Study templates, most used first, as a page of summaries (templateId, name, revision, method, question count), or returns one exact templateId with its revision, research method, questions, response settings and question attachments.
save_study_draft	Creates or checkpoints an unfinished Quick or Custom Study draft without starting research.
save_study_template	Creates a private Custom template with its questions, response settings, attachments and method.
update_study_template	Updates one owned Custom template at update.expectedRevision.
use_study_template	Creates an independent editable Study draft from a readable template at use.expectedRevision.
delete_study_template	Only for saved Study templates; it cannot delete Studies, Audiences, Minds or answers.
read_study_summary	Reads saved whole-Study Markdown, evidence blocks and metadata.
refresh_study_summary	Generates and saves a whole-Study summary after explicit approval.
plan_study_questions	Deprecated alias of create_study_plan and revise_study_plan; identical behaviour.
run_study_questions	Deprecated alias of start_study_run; identical behaviour.

Server card: https://getminds.ai/.well-known/mcp/server-card.json (minds-ai).

Call list_research_methods for current executable status, requirements, and fallbacks before choosing a research method.

Discovery

• Server card: https://getminds.ai/.well-known/mcp/server-card.json
• OAuth protected resource metadata: https://getminds.ai/.well-known/oauth-protected-resource/mcp
• Registry name: ai.getminds/minds

Links

• Product: https://getminds.ai
• MCP setup guide: https://getminds.ai/mcp/setup
• API docs: https://getminds.ai/api
• Versioned integration reference: https://doi.org/10.5281/zenodo.21711429
• Documentation publishing model: DOCUMENTATION.md
• GitBook reference: https://minds-1.gitbook.io/minds-mcp/
• Client compatibility: https://minds-mcp-compatibility.pages.dev/
• MCP setup generator: https://minds-mcp-setup-generator.netlify.app/
• Public API explorer: https://minds-api-explorer.vercel.app/?utm_source=content&utm_medium=content&utm_campaign=content-seo-mcp-reference&utm_content=mcp-repository-links-api-explorer
• API + MCP integration lab: https://minds-api-mcp-integration-lab-bba685.gitlab.io/?utm_source=content&utm_medium=content&utm_campaign=content-seo-mcp-reference&utm_content=mcp-repository-links-integration-lab
• Support: https://getminds.ai
• Developer portal distribution model: DISTRIBUTION.md
• Google Antigravity plugin manifest: plugin.json
• Google Antigravity MCP configuration: mcp_config.json