Ninar AI
Ninar AI MCP is a MCP server that audits your brand’s visibility across ChatGPT, Gemini, Claude, Perplexity, and six more AI engines.
About
Ninar AI MCP (ai.ninar/ninar) connects your agent to Ninar’s multi-engine brand visibility audits. developers and marketers use it at Launch—and again in Grow—when they need evidence that product names, positioning, and FAQs actually appear in ChatGPT, Gemini, Claude, Perplexity, and other listed engines. The server is hosted over streamable HTTP, so setup is registering the remote URL in your MCP client rather than installing a local runtime. It complements traditional SEO skills: you still write pages, but Ninar answers whether AI surfaces repeat your narrative. Best when you ship a SaaS or content product and care about answer-engine optimization. It does not replace analytics pipelines or ad buying; it focuses on AI-engine citation-style visibility.
- Brand visibility audit across ChatGPT, Gemini, Claude, Perplexity, and six additional engines (10 total per description)
- Remote streamable-http MCP at https://ninar.ai/mcp (no local package in server.json)
- Version 1.0.0; website ninar.ai and GitHub Ninar-ctrl/Ninar.AI
Ninar AI by the numbers
- Exposes 5 verified tools (MCP introspection)
- Data as of Jul 7, 2026 (Skillselion catalog sync)
claude mcp add --transport http ninar https://ninar.ai/mcpAdd your badge
Show developers this MCP server is listed on Skillselion. Paste this into your README.
| Transport | HTTP |
|---|---|
| Auth | None |
| Tools | 5 |
What it does
Audit how often AI engines mention your brand so you can tune launch copy and GEO before scaling distribution.
Who is it for?
Best when you're launching SaaS or content products and need a quick AI-engine visibility check from the IDE.
Skip if: Skip if you only need Google Search Console rank tracking or have no brand name to audit yet.
What you get
After adding the Ninar remote MCP, your agent can run visibility audits and use results to refine GEO and distribution copy.
- Multi-engine brand visibility audit results usable in agent-driven launch revisions
- Actionable signal for GEO copy and FAQ updates
By the numbers
- MCP version 1.0.0
- Remote URL https://ninar.ai/mcp
- Covers ChatGPT, Gemini, Claude, Perplexity plus 6 additional engines (10 engines stated in description)
Tools 5
Public tool metadata - what this server can do for an agent.
get_latest_scoreGet 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_visibility6 paramsRun 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).
brand_namestringrequiredBrand to scan, e.g. 'Ninar', 'Joe's Pizza'.categorystringrequiredCategory, e.g. 'AI visibility platform', 'pizza restaurant'.citystringCity for a local-business check. Omit for multi-engine GEO scan.countrystringOptional ISO country: us, gb, in, eu.use_casestringOptional GEO use case, e.g. 'for sales teams'.websitestringOptional brand URL for GEO citation matching.
list_content_gapsList 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_content1 paramGenerate 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.
gap_typestringrequiredWhich content block to generate. Use 'all' for everything in one call.
audit_brand_visibility3 paramsRun 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.
entitystringrequiredEntity name to adjudicate, e.g. 'Banner Life', 'Enact Solar'.raw_evidenceobjectrequiredSource text the entity appeared in. Should contain 'raw_answer_excerpt' and optionally 'entity_sentence' and 'source_probe_id'.taxonomy_idstringTaxonomy registry to validate against. Default: pmi.v1
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Remote GEO audit MCP, not a site-building or keyword-research skill.
FAQ
Who is Ninar AI MCP for?
Developers and small marketing leads who want AI-engine brand audits without leaving Claude Code or Cursor.
When should I use Ninar AI MCP?
Use it during Launch (GEO) before major distribution pushes, and when iterating positioning in Grow.
How do I add Ninar AI MCP to my agent?
Add the remote MCP entry pointing to https://ninar.ai/mcp (streamable-http) in your client’s MCP configuration and follow Ninar.ai account steps if prompted.