Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Run AI market research: synthetic customer panels for concept testing, message testing, segments.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Works in Claude on the web, desktop and mobile:
https://getminds.ai/mcpRun this in your terminal
claude mcp add --transport http minds https://getminds.ai/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"minds": {
"url": "https://getminds.ai/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"minds": {
"type": "http",
"url": "https://getminds.ai/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://getminds.ai/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The publisher (getminds.ai) is not the repo owner (minds-ai-co); someone else may have listed it
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 0 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (2.0.2) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
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.
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:
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.
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.
Customize, then Connectors, then add https://getminds.ai/mcp as a remote connector and authorize via OAuth.
claude mcp add --transport http mindsai https://getminds.ai/mcp \
--header "Authorization: Bearer minds_YOUR_API_KEY"
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.
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.
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.
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.
Generate one in the Minds app under Settings → API Keys. Keys start with minds_ and are passed as Authorization: Bearer minds_....
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
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