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Ninar AI

by ninar.ai in AI models & inference

MCP serverPassing, checked 3 h ago

Audit your brand's visibility across ChatGPT, Gemini, Claude, Perplexity + 6 more engines.

https://ninar.ai/mcp

Last 30 days

All checks passedSome failedAll failedNot checked
Uptime
100%
Response time
582 ms typical, 582 ms slowest 5%
Last check
3 h ago
Next check
in 3 h

How to call it

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "ninar-ai": {
      "type": "http",
      "url": "https://ninar.ai/mcp"
    }
  }
}

5 tools

  • get_latest_score

    Get the AI Visibility Index (0-100) for the signed-in user's most recently scanned brand, broken down by engine. Requires a free Ninar account (no credit card).

  • scan_visibility

    Run an AI visibility scan for a brand. Pass `city` for a local-business check (ChatGPT + Gemini, city-scoped). Omit `city` for a multi-engine GEO scan across ChatGPT, Gemini, Perplexity, Claude, AI Overviews — engine count scales with the user's Ninar plan (free = 2).

  • list_content_gaps

    List AI-generated content suggestions (FAQs, differentiators, use cases, about copy) the signed-in user can publish to close visibility gaps found in their latest scan.

  • generate_content

    Generate AI-optimized content (FAQ, about copy, use cases, differentiators) for the gaps in your latest scan. Returns full content text inline — no need to visit the dashboard. Pro plan or higher required. Pass gap_type='all' to get every block in one call.

  • audit_brand_visibility

    Check whether a brand or entity surfaced by an AI engine is a genuine competitor in your category (e.g. is 'Banner Life' actually a mortgage insurance competitor to Enact?). Uses dual-model verification with automatic escalation on disagreement. Returns a confirmed/rejected decis

Security scan

  • No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.

Recent checks

WhenResultHTTPTime
3 h agoPassed200582 ms