Run AI market research: synthetic customer panels for concept testing, message testing, segments.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
Manual Client & Custom JSON ConfigExpand JSON ▾
Client Config & Setup
Remote HTTPChoose your client or environment
Target File:
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Capabilities & Tool Schemas (15)
Inspect callable tools, capabilities, and parameters exposed to AI agents by Minds: Synthetic Market Research Panels.
list_groupsList your saved Audiences, segments, and persona collections.
create_group_from_briefBuild a grounded synthetic Audience from a population brief via deep web research.
ask_groupAsk, survey, or poll a single Audience and get per-respondent answers.
list_panelsList your panels, studies, surveys, and focus groups.
create_panelCreate a panel or study from a research goal.
ask_panelAsk one straightforward question across a whole panel.
Documentation Overview
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/?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, 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
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
The root plugin.json and mcp_config.json make this repository an Antigravity
plugin. Antigravity discovers OAuth from the hosted endpoint and prompts you to
authenticate. You can also add Minds directly in the Antigravity MCP manager
with the server URL https://getminds.ai/mcp.
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, then API Keys. Keys start with
minds_ and are passed as Authorization: Bearer minds_....
Tools
| Tool | What it does |
|---|---|
list_groups | List your saved Audiences, segments, and persona collections. |
create_group_from_brief | Build a grounded synthetic Audience from a population brief via deep web research. |
ask_group | Ask, survey, or poll a single Audience and get per-respondent answers. |
list_panels | List your panels, studies, surveys, and focus groups. |
create_panel | Create a panel or study from a research goal. |
ask_panel | Ask one straightforward question across a whole panel. |
get_panel_status | Check panel composition and live progress on in-flight questions. |
export_panel | Export panel results as PDF, CSV, XLSX, or JSON. |
plan_panel_study | Draft a structured research plan for multi-question studies, asset audits, and MaxDiff. |
run_panel_study | Execute a confirmed study plan as a durable server-side run. |
get_panel_study | Check durable progress, artifacts, and method calculations for a running study. |
list_research_methods | List supported research methods and which of them can actually execute. |
get_panel_summary | Return a whole-study summary with semantic blocks and heatmaps. |
list_study_drafts | List reusable study-plan drafts in the connected workspace. |
save_study_draft | Save a study plan as a reusable draft before execution. |
Research methods: MaxDiff runs through a deterministic adapter. Conjoint is
planned and cannot execute yet. Call list_research_methods for the current
state rather than assuming.
Discovery
- Server card:
https://getminds.ai/.well-known/mcp/server-card.json - OAuth protected resource metadata:
https://getminds.ai/.well-known/oauth-protected-resource - 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
Related MCP Servers
Adoption & maintenance
Factual signals from GitHub, npm, and our automated checks — not a rating.
GitHub stars
3
Stargazers on the source repository.
Last commit
1mo ago
Most recent push to the default branch.
Tools exposed
15
Callable tools this server registers over MCP.
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Frequently Asked Questions about Minds: Synthetic Market Research Panels
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51Quality signal: Good · 51/100How this signal is calculated ▾
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