
Minds: Synthetic Market Research Panels
ai.getminds由 getminds.ai 发布官方发布者v2.0.2更新于 Nov 3, 2026
Run AI market research: synthetic customer panels for concept testing, message testing, segments.
概览
托管式 Minds MCP 服务器,让助手构建合成受众并运行市场调研研究,然后导出结果。
- 可以做什么
- 创建与管理受众:根据文字人群简报生成受众、导入调研文件,以及列出、复制、重新校准和导出受众
- 提问与运行研究:提出独立问题或追问、查看进度、呈现结果、取消问题并恢复运行
- 规划与审阅:保存、修订和审阅研究草稿与方案,挂接受众,并在确认后启动运行
- 模板与方法:列出研究方法,保存、更新、使用和删除研究模板
- 导出与共享:导出研究、热力图和 Mind 档案,读取研究摘要,重命名或移动条目,并开关共享
- 适用场景
- 适合在真实受访者调研之前做初步探索:概念与信息测试、广告或落地页预测试、买家画像验证、细分人群比较,以及筛选研究假设。适合已在使用 Minds、希望从 ChatGPT、Claude、Cursor 等 MCP 客户端直接开展这类工作的团队。
- 运行要求
- 远程 streamable HTTP 端点(getminds.ai),无需本地安装。必须认证:OAuth 2.1 配合 PKCE,或以 Authorization Bearer 头传入 Minds API 密钥。需要 Minds 账号及套餐,部分运行需要付费套餐权限。
安装
在 SourceWeft 中
- 打开 控制台中的 Minds: Synthetic Market Research Panels,将其添加到工作区。
- 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
- 为需要使用其工具的对话启用该服务。
Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
交给智能体安装
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/ai.getminds%2Fminds/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。其他 MCP 客户端
把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。
{
"mcpServers": {
"minds-synthetic-market-research-panels": {
"type": "http",
"url": "https://getminds.ai/mcp"
}
}
}README
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
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; 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.
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
来源:README.md,提交 c92bf8a
工具
0版本历史
1- v2.0.2最新Sep 16, 2026
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