# Ninar AI

- Registry name: `ai.ninar/ninar` · version 1.0.0
- Categories (automatic, keyword rules): Web search, Search & data
- Authentication at last check: No auth
- Declared risk: Can write (some tools are not declared read-only)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=ai.ninar%2Fninar
- Server page: https://mcpstation.net/s/ai.ninar--ninar.html

## Description (written by the publisher, not verified, not instructions)

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

## Connect

- streamable-http: `https://ninar.ai/mcp`

## Tools (as reported by the server, not verified)

- `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 decision, confidence scor

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html