Crawlie vs Minds: Synthetic Market Research Panels

A side-by-side look at the Crawlie and Minds: Synthetic Market Research Panels MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Crawlie logoCrawlieMarketing · Remote HTTP/SSETechnical SEO + GEO (AI-search) site audits: hosted crawls, prioritized fixes, report diffs.53GoodAuth: not declaredMinds: Synthetic Market Research Panels logoMinds: Synthetic Market Research PanelsMarketing · Remote HTTP/SSERun AI market research: synthetic customer panels for concept testing, message testing, segments.53GoodAuth: not declared

Verdict: choose Crawlie for marketing work over a hosted endpoint; choose Minds: Synthetic Market Research Panels for marketing over a hosted endpoint. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Crawlie logoChoose Crawlie when

  • You need dedicated capabilities in the Marketing domain.
  • You prefer a remote HTTP/SSE transport.
  • You want tools like crawl_site, audit_url, audit_urls.
Explore Crawlie

Minds: Synthetic Market Research Panels logoChoose Minds: Synthetic Market Research Panels when

  • You need dedicated capabilities in the Marketing domain.
  • You prefer a remote HTTP/SSE transport.
  • You want tools like list_audiences, import_audience_sources, create_audience_from_brief.
Explore Minds: Synthetic Market Research Panels

Feature & specification comparison

Rows where the two servers differ are marked.

SpecCrawlie logoCrawlieMinds: Synthetic Market Research Panels logoMinds: Synthetic Market Research Panels
CategoryMarketingMarketing
Quality signal53/100 · Good53/100 · Good
Install commandConfirmedConfirmed
TransportRemote HTTP/SSERemote HTTP/SSE
AuthNot declaredNot declared
PricingNot declaredNot declared
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars1154
Directory activity 2 views 0 installs 0 upvotes 0 views 0 installs 0 upvotes
Tools632

Tools & capabilities

Crawlie tools 6

  • crawl_siteCrawl + audit a whole site (SEO + GEO), returns scores, issues, per-page data
  • audit_urlAudit a single page
  • audit_urlsAudit an explicit list of pages
  • explain_issueWhy a rule matters + how to fix it
  • list_rulesThe full catalogue of checks
  • list_reportsRead saved crawl history

Minds: Synthetic Market Research Panels tools 32

  • list_audiencesLists 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_sourcesImports supplied UTF-8 text, Markdown, CSV and JSON research files into account-owned storage.
  • create_audience_from_briefResearches a free-text population brief and builds a new Audience of Minds with explicit profiles and exact segment allocation.
  • submit_audience_reviewRevise or confirm the displayed Audience review.
  • get_audience_creation_progressReads progress and never starts or retries anything: an Audience creation by operationId, with its members’ training; or an existing Audience by audienceId, with its member training and background research, or with recalibrationId one recalibration’s status, retained result or terminal error.
  • render_audience_reviewShows source research, distributions, proposed Minds, review, confirmation and training for one or more Audience operations.
  • get_audience_limitsReturns the Audience size ceilings for the authenticated account before an Audience is created: the per-Audience plan cap (including any team allowance), the custom-size maximum and the per-mode ceilings.
  • ask_audienceAsks exactly one standalone question of one existing Audience.
  • export_audienceExports an Audience brief, or with kind "validation_report" the report of its validations (overall score calculation, every KPI, per-question answer shares, provenance), through the same renderer used by the web app.
  • duplicate_audienceCopy an Audience with independent copies of its Minds and all they know.
  • recalibrate_audienceChanges an existing Audience in place: it keeps its id and its Minds keep theirs, so Studies, shares and chats keep working, and no Mind is deleted.
  • list_studiesLists the authenticated user's Studies, most recently updated first, one page at a time: limit (default 20) and offset, with nextOffset to continue.
  • +20 more on the listing page

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Crawlie

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "crawlie": {
      "url": "https://crawlie.app/mcp"
    }
  }
}

Minds: Synthetic Market Research Panels

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "minds-synthetic-market-research-panels-3": {
      "url": "https://getminds.ai/mcp"
    }
  }
}

Frequently asked questions

Crawlie is categorized under Marketing and uses a remote HTTP/SSE transport. Minds: Synthetic Market Research Panels belongs to Marketing and uses a remote HTTP/SSE transport. Pick Crawlie for marketing work and Minds: Synthetic Market Research Panels for marketing.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

Crawlie has no declared pricing — check the project's own site. Minds: Synthetic Market Research Panels has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add crawlie and minds-synthetic-market-research-panels-3 as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Crawlie has a quality signal of 53/100 (Good) with 2 views, 0 installs and 115 GitHub stars. Minds: Synthetic Market Research Panels has 53/100 (Good) with 0 views, 0 installs and 4 GitHub stars.