mcp server
Minds: Synthetic Market Research Panels
Run AI market research: synthetic customer panels for concept testing, message testing, segments.
Description as published by the maintainer. Source
- version 2.0.2
- active
- retrieval
active — Most recent push to the repository was 2026-08-01. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 1 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-08-01 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 2.0.2 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-08-03 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-08-03 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Related, by what their authors tagged them
-
Perspective AI
— last commit 2026-04-28, shares survey
An AI concierge that turns static forms into adaptive AI conversations. From any MCP client.
-
Vaaya
— last commit 2026-08-06, shares gemini-cli-extension, market-research
Pay-per-call agent superpowers: media/video gen, product demos, research, GTM, scraping, compute.
-
Amazon Trends API
— last commit 2026-08-03, shares market-research
Amazon product search volume and best-seller trends. Free key at trendsapi.ai
-
Google Trends API
— last commit 2026-08-03, shares market-research
Google Trends search interest over time with growth metrics. Free key at trendsapi.ai
-
Reddit Trends API
— last commit 2026-08-03, shares market-research
Reddit discussion volume and subreddit growth over time. Free key at trendsapi.ai
-
Adlicio
— last commit 2026-07-30, shares market-research
Scrape customer comments and reviews from Reddit, YouTube, Amazon, TikTok, and 25+ platforms.
-
AMZScout Skill + MCP
— last commit 2026-08-06, shares market-research
Amazon research from AMZScout data: analyze products & niches, keywords/PPC, and brand catalogs.
-
io.github.carlosalvite/foundersignal
— last commit 2026-05-28, shares market-research
Find SaaS ideas worth building. Revenue data, growth signals and pain points from 10+ sources.
-
ai.adeu/adeu
— last commit 2026-08-03, shares gemini-cli-extension
Automated DOCX Redlining Engine
-
ai.dataecho/mcp
— last commit 2026-07-04, shares gemini-cli-extension
Deploy files, sites, and Dockerfile apps to live URLs + private drives for agent memory.
These share tags the maintainers applied themselves, such as survey, gemini-cli-extension, market-research. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: ai-personas, concept-testing, consumer-insights, focus-group, gemini-cli-extension, market-research, mcp, model-context-protocol, qualitative-research, survey, synthetic-panel.
Bring your own setup
We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.
Join ZBS AI Practice Lab