Minds: Synthetic Market Research Panels

Name: Minds: Synthetic Market Research Panels
Author: minds-ai-co

作者：minds-ai-co版本 2.0.2i★ –i在云端运行

注册名称ai.getminds/minds

安装

概览

作者提供的说明（英文原文）

Run AI market research: synthetic customer panels for concept testing, message testing, segments.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 0 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在云端运行
传输方式: Streamable HTTP
分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 0 项
在作者的服务器上运行：你向它提出的内容会经过他们的服务器。
注册中心没有列出需要填写的密钥。

你需要

在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude：

打开 Settings → Connectors
点击 Add custom connector
粘贴下面的地址，然后点击 Add
如果要求登录，请登录作者的服务

https://getminds.ai/mcp

在终端中运行这条命令

claude mcp add --transport http minds https://getminds.ai/mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "minds": {
      "url": "https://getminds.ai/mcp"
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "minds": {
      "type": "http",
      "url": "https://getminds.ai/mcp"
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

ChatGPT 只能连接互联网上的服务器：

打开网页版 ChatGPT → Settings → Connectors (Apps)
点击 Create 或 Add（部分套餐需要先在 Advanced 中开启 Developer mode）
粘贴下面的地址，起个名字，然后保存
如果要求登录，请登录作者的服务

https://getminds.ai/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表；我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

! 注意
作者与仓库一致
发布者（getminds.ai）不是仓库所有者（minds-ai-co）；可能是其他人代为上架的
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
… 尚未检查
端点有响应
尚未检查；我们会轮流检查各个端点
… 尚未检查
使用 OAuth 登录
尚未检查；我们会轮流检查各个端点
… 尚未检查
工具描述中没有隐藏指令
尚未检查；我们会在检查端点时读取工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

星标数多于此分类中其他 7234 个服务器的 0%
发布到注册中心的时间比此分类中其他 7234 个服务器的 27% 更新
基础检查结果等于或优于此分类中其他 7234 个服务器的 36%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Minds: Synthetic Market Research Panels 安全吗？

它在 1 项适用的基础检查中通过了 0 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

它在作者的云端运行。通过互联网连接，无需安装，但你发送的内容会经过作者的服务器。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（2.0.2）于3个月前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接，所以接受远程 MCP 服务器的应用也可以使用，例如开启开发者模式的 ChatGPT。

有什么可以替代它？

同一分类中有：Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者：upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT3天前更新

安装

Codebase Memory

作者：DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT20天前更新

安装

Exa

作者：exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT44天前更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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`	Builds grounded Audience/Mind profiles with exact segment allocation.
`get_audience_creation_progress`	Read-only; never starts or retries work.
`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 kind validation_report (scores, KPIs, answer shares, provenance) as Markdown/PDF/DOCX/PPTX.
`duplicate_audience`	Adds an independent copy of an Audience, its Minds and retained knowledge.
`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, Audience results, Mind responses and export status in the Study display locale.
`render_study_results`	Shows finished question/run results, summaries, Audience breakdowns and Mind responses, including partial runs.
`export_study`	Queues Study results export: executive/full reports in PDF/DOCX/PPTX/Markdown; raw CSV/XLS/SPSS SAV.
`duplicate_study`	Permanently copy a Study with its questions and results over the same Audiences.
`export_heatmap`	Exports a completed website heatmap by Study/message ID as a ZIP of stored screenshots and overlays.
`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`	Exports an existing Mind by ID/name: inline Markdown by default, or PDF/DOCX/PPTX.
`get_shared_mind_knowledge`	Returns stored public Mind sources/assessments by share ID, including shares outside the private workspace.
`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 owned/team-shared template summaries, most used first; templateId returns full configuration, revision, questions, response settings and 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`	Returns saved whole-Study Markdown, evidence, generation state and the caller's refresh receipt.
`refresh_study_summary`	Accepts a background whole-Study summary refresh after explicit approval.
`plan_study_questions`	Deprecated alias of create_study_plan and revise_study_plan; identical behaviour.

| run_study_questions | Deprecated alias of star

只显示了开头部分；其余内容请在仓库中阅读