Google Search Console integration for Model Context Protocol (MCP)
Ninar AI is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
Audit your brand's visibility across ChatGPT, Gemini, Claude, Perplexity + 6 more engines.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http ninar-ai-mcp https://ninar.ai/mcp
# 2 — ask your agent for something these tools do
# get_latest_score, scan_visibility, list_content_gaps and 2 more
Ninar AI costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http ninar-ai-mcp https://ninar.ai/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
5 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
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).
No parameter schema on file.
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).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| brand_name | string | yes | Brand to scan, e.g. 'Ninar', 'Joe's Pizza'. |
| category | string | yes | Category, e.g. 'AI visibility platform', 'pizza restaurant'. |
| city | string | no | City for a local-business check. Omit for multi-engine GEO scan. |
| country | string | no | Optional ISO country: us, gb, in, eu. |
| use_case | string | no | Optional GEO use case, e.g. 'for sales teams'. |
| website | string | no | Optional brand URL for GEO citation matching. |
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.
No parameter schema on file.
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| gap_type | string | yes | Which content block to generate. Use 'all' for everything in one call. |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| entity | string | yes | Entity name to adjudicate, e.g. 'Banner Life', 'Enact Solar'. |
| raw_evidence | object | yes | Source text the entity appeared in. Should contain 'raw_answer_excerpt' and optionally 'entity_sentence' and 'source_probe_id'. |
| taxonomy_id | string | no | Taxonomy registry to validate against. Default: pmi.v1 |
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Ninar AI or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.0.0.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish Ninar AI can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.