# Ninar AI MCP server

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

## Links
- Registry page: https://www.getdrio.com/mcp/ai-ninar-ninar
- Repository: https://github.com/Ninar-ctrl/Ninar.AI
- Website: https://ninar.ai

## Install
- Endpoint: https://ninar.ai/mcp
- Auth: Not captured

## Setup notes
- Remote endpoint: https://ninar.ai/mcp

## Tools
- get_latest_score (Get my latest AI Visibility Index 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). Endpoint: https://ninar.ai/mcp
- scan_visibility (Run an AI visibility scan) - 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). Endpoint: https://ninar.ai/mcp
- list_content_gaps (List content gaps from my latest scan) - 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. Endpoint: https://ninar.ai/mcp
- generate_content (Generate AI-optimized content for a gap) - Generate fresh AI-optimized content for a specific gap type. Pro plan or higher required. Endpoint: https://ninar.ai/mcp
- audit_brand_visibility (Audit a brand entity via System of Record adjudication) - Run a System of Record adjudication on an entity surfaced by an AI engine (e.g. is 'Banner Life' a valid PMI competitor to Enact?). Uses dual-model consensus (Haiku 4.5 + Gemini Flash, escalating to Sonnet 4.6 + Gemini Pro on disagreement) against a versioned taxonomy. Returns the Why Drawer headline, audit trail, and per-model judgments. Pro plan or higher required. Endpoint: https://ninar.ai/mcp

## Resources
Not captured

## Prompts
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## Metadata
- Owner: ai.ninar
- Version: 1.0.0
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: May 21, 2026
- Source: https://registry.modelcontextprotocol.io
