Data Collection
getminds.ai
Create, manage, and export survey or research panels with the ability to ask questions and track their status.
ENDPOINT 1
https://getminds.ai/mcp
MCP server metadata
- Name
- minds-ai
- Version
- 2.0.0
Known tools 18
export_mindGenerates a branded profile for one existing Mind, identified by exact ID or fuzzy name.
Inferred read-onlyexport_heatmapExports a completed website heatmap from a Study result, identified by the message ID reported with the completed result.
Potential side effectslist_research_methodsLists Minds research methods with availability, complexity, executable status, and fallback metadata.
Inferred read-onlylist_study_draftsLists durable unfinished study drafts, or returns the complete saved planning state for one exact draft ID.
Inferred read-onlysave_study_draftCreates or checkpoints an unfinished Quick or Custom Study draft without starting research.
Inferred read-onlylist_audiencesLists the authenticated user's Audiences, including member Minds, sharing state, and workspace or shared links.
Inferred read-onlycreate_audience_from_briefCreates a grounded Audience of synthetic Minds from a population or audience brief.
Inferred read-onlyask_audienceSubmits exactly one respondent-visible standalone question to one existing Audience, identified by exact ID or fuzzy name.
Inferred read-onlyexport_audienceExports an Audience brief through the same unified branded renderer used by the web app.
Inferred read-onlylist_studiesLists the authenticated user's Studies with their Audiences, Minds, status, sharing state, and workspace or shared links.
Inferred read-onlycreate_studyCreates a new Study workspace from existing Audiences or inline Audience configurations; it does not ask questions or run research.
Inferred read-onlyget_study_statusReturns the current Study state, live progress for in-flight questions, completed per-Audience results, linked Minds, Study links, and the status of a specific asynchronous export job when export identifiers are supplied.
Inferred read-onlyexport_studyStarts an asynchronous export of Study results and returns an export job ID.
Inferred read-onlyplan_study_questionsCreates or revises a non-executing draft for a multi-question plan inside an existing Study.
Inferred read-onlyrun_study_questionsExecutes the exact stored multi-question draft revision inside the target Study after explicit confirmation.
Inferred read-onlyget_study_runReturns durable progress or results for one confirmed multi-question run inside a Study, including its immutable confirmed plan, server-prepared execution plan, respondent-visible question audit, question progress, response artifacts, deterministic method calculations, and stage readiness.
Inferred read-onlyget_study_summaryReturns or refreshes the semantic summary for a Study as Markdown plus flexible evidence blocks.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.minds-ai]
url = "https://getminds.ai/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"minds-ai": {
"type": "http",
"url": "https://getminds.ai/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: minds-ai
Remote MCP URL: https://getminds.ai/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"minds-ai": {
"url": "https://getminds.ai/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"minds-ai": {
"type": "http",
"url": "https://getminds.ai/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "minds-ai",
"transport": "streamable-http",
"url": "https://getminds.ai/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.