Ninar AI

ai.ninarPublished by ninar.aiOfficial publisherv1.0.0Updated Oct 25, 2026

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

VerifiedStreamable HTTPWeb executableData & AnalyticsBusiness & Commerce

Overview

AI-generated overview

Ninar AI is a remote MCP server that lets an assistant scan and audit a brand's visibility across AI engines and generate content to close the gaps it finds.

What you can do
Get the AI Visibility Index score for the most recently scanned brand, broken down by engine, and run new visibility scans for a brand, either city-scoped for local businesses or across multiple AI engines depending on plan. List AI-generated content suggestions for gaps found in the latest scan, and generate full AI-optimized content such as FAQs, about copy, use cases and differentiators. Audit whether a brand or entity surfaced by an AI engine is a genuine competitor, using dual-model verification with a confirmed or rejected decision and confidence score.
When to use it
Useful when you want to track or improve how a brand appears in AI engine answers, compare visibility across engines, or produce ready-to-publish content that targets the gaps a scan reveals. Also suited to checking whether a competitor name an AI engine mentions is really a competitor in your category.
Requirements
A remote endpoint at ninar.ai; no packages, environment variables or headers are declared. A free Ninar account is required for the score and scan tools, and some tools need a paid plan: generate_content requires Pro or higher, and the number of engines scanned scales with the plan (free covers 2).
Before you install
Tools act on the signed-in user's account and latest scan, so results depend on that account's data. generate_content requires a paid plan, and scan breadth depends on plan tier, so usage may involve paid subscription limits. Scans and audits send brand and competitor names to Ninar and the AI engines it queries.

Installation

In SourceWeft

  1. Open Ninar AI in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/ai.ninar%2Fninar/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

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

README

This repository has no README.

Tools

5

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).

Takes no parameters.

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).

Parameterscitycountrywebsitecategoryrequireduse_casebrand_namerequired

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.

Takes no parameters.

generate_content

Generate AI-optimized content for a gap

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.

Parametersgap_typerequired

audit_brand_visibility

Verify whether an entity is a real competitor

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 score, reasoning, and audit trail. Pro plan or higher required.

Parametersentityrequiredtaxonomy_idraw_evidencerequired

Version history

1
  1. v1.0.0LatestSep 16, 2026

Score

75% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • License10 pts

    Declare a license in the repository or the registry entry.