Minds: Synthetic Market Research Panels MCP server

Minds MCP Server

Run AI market research from your assistant: synthetic customer panels 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/?utmsource=content&utmmedium=content&utmcampaign=content-seo-mcp-reference&utmcontent=mcp-repository-api-explorer API + MCP integration lab: https://minds-api-mcp-integration-lab-bba685.gitlab.io/?utmsource=content&utmmedium=content&utmcampaign=content-seo-mcp-reference&utmcontent=mcp-repository-integration-lab Archived release: https://doi.org/10.5281/zenodo.21711429 Auth: OAuth 2.1 with PKCE, or a Minds API key

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 panel 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, CSV, XLSX, JSON, and Markdown.

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

Settings, then Connected Apps, then add https://getminds.ai/mcp and authorize via OAuth. Panel results render as interactive widgets inline.

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

Shortened. The full README is on GitHub.