Minds MCP Server

Name: Minds: Synthetic Market Research Panels
Author: getminds

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

bash

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

bash

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 32 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.
`submit_audience_review`	Revise or confirm the displayed Audience review.
`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, review, confirmation and training for one or more Audience operations.
`get_audience_limits`	Returns the Audience size ceilings for the authenticated account before an Audience is created: the per-Audience plan cap (including any team allowance), the custom-size maximum and the per-mode ceilings.
`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`	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 and its Minds keep theirs, so Studies, shares and chats keep working, and no Mind is deleted.
`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 in an existing Study: 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 final results, summary, key findings, Audience breakdowns and Mind responses for a completed question or multi-question run.
`export_study`	Starts an asynchronous export of Study results and returns an export job ID.
`duplicate_study`	Copy a Study with all 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.
`run_study_heatmap`	The attention heatmap of one asset (image, video or website) on a Study question, as in the Minds web app: action "get" reads it, "start" analyses it.
`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.
`plan_study_questions`	Creates or revises a non-executing draft for a multi-question plan inside an existing Study.
`render_study_plan`	Shows a saved Study draft at its current revision for interactive review and confirmation.
`run_study_questions`	Runs one stored draft revision inside its Study, after the person has explicitly confirmed that exact revision.
`list_research_methods`	Lists the research methods a Study can use, with availability, complexity and fallback method, and whether each can run now or is experimental or planned.
`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.
`manage_study_template`	Saves a Custom Study template, updates one the user owns, or turns one into an independent editable Study draft in the Minds web app.
`delete_study_template`	Only for saved Study templates; it cannot delete Studies, Audiences, Minds or answers.
`get_study_summary`	Returns the semantic summary of a Study as Markdown plus evidence blocks (website, image and video analyses keep heatmap-compatible metadata).

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