Ninar AI

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by ninar

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

MCP Server: ai.ninar/ninar

The ai.ninar/ninar MCP server helps audit a brand’s visibility across ChatGPT, Gemini, Claude, Perplexity, and 6 more engines. It is provided with 5 tools available via the MCP server interface and is described as focusing on cross-engine brand visibility evaluation.

🛠️ Key Features

Audit brand visibility across multiple AI search/chat engines
Coverage includes ChatGPT, Gemini, Claude, Perplexity, plus 6 additional engines

🚀 Use Cases

Check how a brand appears across different AI engines
Compare brand visibility across major AI platforms

⚡ Developer Benefits

Exposes 5 tools for programmatic interaction via MCP
Standardized access to the server’s visibility-audit capabilities

⚠️ Limitations

Only the cross-engine visibility audit is described; no other capabilities are provided in the available data

Captured live from the server via tools/list.

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).

Parameters

No parameters.

Raw schema

{
  "type": "object",
  "properties": {}
}

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).

Parameters6

brand_name	string	required	Brand to scan, e.g. 'Ninar', 'Joe's Pizza'.
category	string	required	Category, e.g. 'AI visibility platform', 'pizza restaurant'.
city	string	optional	City for a local-business check. Omit for multi-engine GEO scan.
country	string	optional	Optional ISO country: us, gb, in, eu.
use_case	string	optional	Optional GEO use case, e.g. 'for sales teams'.
website	string	optional	Optional brand URL for GEO citation matching.

Raw schema

{
  "type": "object",
  "properties": {
    "brand_name": {
      "description": "Brand to scan, e.g. 'Ninar', 'Joe's Pizza'.",
      "type": "string"
    },
    "category": {
      "description": "Category, e.g. 'AI visibility platform', 'pizza restaurant'.",
      "type": "string"
    },
    "city": {
      "description": "City for a local-business check. Omit for multi-engine GEO scan.",
      "type": "string"
    },
    "country": {
      "description": "Optional ISO country: us, gb, in, eu.",
      "type": "string"
    },
    "use_case": {
      "description": "Optional GEO use case, e.g. 'for sales teams'.",
      "type": "string"
    },
    "website": {
      "description": "Optional brand URL for GEO citation matching.",
      "type": "string"
    }
  },
  "required": [
    "brand_name",
    "category"
  ]
}

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.

Parameters

No parameters.

Raw schema

{
  "type": "object",
  "properties": {}
}

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.

Parameters1

gap_type

string

required

Which content block to generate. Use 'all' for everything in one call.

Raw schema

{
  "type": "object",
  "properties": {
    "gap_type": {
      "description": "Which content block to generate. Use 'all' for everything in one call.",
      "enum": [
        "faq",
        "about",
        "use_cases",
        "differentiators",
        "all"
      ],
      "type": "string"
    }
  },
  "required": [
    "gap_type"
  ]
}

audit_brand_visibility

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.

Parameters3

entity	string	required	Entity name to adjudicate, e.g. 'Banner Life', 'Enact Solar'.
raw_evidence	object	required	Source text the entity appeared in. Should contain 'raw_answer_excerpt' and optionally 'entity_sentence' and 'source_probe_id'.
taxonomy_id	string	optional	Taxonomy registry to validate against. Default: pmi.v1

Raw schema

{
  "type": "object",
  "properties": {
    "entity": {
      "description": "Entity name to adjudicate, e.g. 'Banner Life', 'Enact Solar'.",
      "type": "string"
    },
    "raw_evidence": {
      "description": "Source text the entity appeared in. Should contain 'raw_answer_excerpt' and optionally 'entity_sentence' and 'source_probe_id'.",
      "properties": {
        "entity_sentence": {
          "type": "string"
        },
        "raw_answer_excerpt": {
          "type": "string"
        },
        "source_probe_id": {
          "type": "string"
        }
      },
      "required": [
        "raw_answer_excerpt"
      ],
      "type": "object"
    },
    "taxonomy_id": {
      "description": "Taxonomy registry to validate against. Default: pmi.v1",
      "type": "string"
    }
  },
  "required": [
    "entity",
    "raw_evidence"
  ]
}

Install

Tools (5)

get_latest_scorescan_visibilitylist_content_gapsgenerate_contentaudit_brand_visibility

Remote endpoint

Streamable HTTP

Hosted server - connect over the network, no local install.

url

https://ninar.ai/mcp

Add to VS Code Add to Cursor

claude_desktop_config.json

json

{
  "mcpServers": {
    "ninar": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://ninar.ai/mcp"
      ]
    }
  }
}

Desktop config is stdio-only; this bridges via mcp-remote. Native remote: Settings > Connectors.

MCP Server: ai.ninar/ninar

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

⚠️ Limitations

get_latest_score

scan_visibility

list_content_gaps

generate_content

audit_brand_visibility

Install

Remote endpoint

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