Google Search Console integration for Model Context Protocol (MCP)
Nothing to run from here
Mirror — AI Citability 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.
6
tools declared
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trust score
remote
at its publisher
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calls last 7d
What it does
Measure a brand's AI Citability across AEO, GEO & SEO — is it cited by ChatGPT, Claude & Gemini?
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http mirror-ai-citability-mcp https://mcp.danielsdesignstudio.com/mcp
# 2 — ask your agent for something these tools do
# score, reflect, studio and 3 more
Mirror — AI Citability costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
MDAll 1 server
mcp.danielsdesignstudio.com1 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
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.
Claude Codedeclared by this listing
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, read from the address; if the publisher says otherwise, swap that one word.
claude mcp add --scope user --transport http mirror-ai-citability-mcp https://mcp.danielsdesignstudio.com/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it writes
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.
What you approve
6 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.
Run an anonymous Lite Reflection on any brand's AI Citability — a fast, open estimate of how discoverable and citable it is in AI answers (its Brand Discovery Intelligence / BDI snapshot), no account required. Mirror measures at two declared levels: LITE estimates, FULL measures. This tool is LITE: it returns a grade band (Below Average / Average / Above Average / Excellent), an ESTIMATED ACS RANG
| Parameter | Type | Required | Notes |
|---|---|---|---|
| url | string | yes | Brand website URL (required), e.g. example.com |
| brand | string | no | Brand name (optional, improves disambiguation) |
| industry | string | no | Industry (optional, improves disambiguation) |
PRICED TOOL — requires a connected account. Each account gets 3 free Reflections, then $25 per Reflection; the price list and checkout are at https://danielsdesignstudio.com/agents?src=mcp-tool. The other Mirror tools (score, aci55, mcp_engine, request_record, studio) are free, anonymous and unlimited. Generate a brand's full Brand Reflection — the complete AI-citability diagnosis: AI Ci
| Parameter | Type | Required | Notes |
|---|---|---|---|
| brand | string | yes | Brand name (required) |
| industry | string | yes | Industry (required) — authoritative disambiguation |
| url | string | yes | Brand website URL (required) |
Generate Mirror Studio output from a Reflection that has already been run — a discovery Plan, answer-first Copy, a Brand Communication page plan, or a Media Plan. Requires the briefId returned by reflect; this tool CONSUMES a completed Reflection and never re-measures or re-scores it. Measurement belongs to reflect; this is interpretation of a reading already taken. Run reflect first if yo
| Parameter | Type | Required | Notes |
|---|---|---|---|
| briefId | string | yes | The id returned by reflect (required). The Reflection must have finished rendering. |
| kind | string | yes | plan = phased discovery plan · copy = answer-first content · brandcom = single-theme page plan · mediaplan = earned/paid/programmatic split (returns JSON) |
| options | object | no | Kind-specific options. |
Look up The ACI 55 — Daniels AI's published benchmark of 55 leading consumer brands measured by AI Citability Score (ACS), the standard for Brand Discovery Intelligence (BDI) across answer engines (AEO), generative AI (GEO), and search (SEO). Presented by category as a banded dataset (bands: Above Average / Average / Below Average / Excellent) — NOT a 1-to-55 ranking. Call with NO arguments to get
| Parameter | Type | Required | Notes |
|---|---|---|---|
| brand | string | no | Optional brand name to look up (e.g. 'Ford', 'Nike'). Omit to return the complete banded dataset — all 55 brands, by category. |
Request a Brand Discovery Record — the human-approved source of truth a brand provides to AI assistants and agents, maintained by Mirror. A Record is a machine-readable reference page, hosted by Mirror, stating a brand's verified facts with schema.org structured data and citations, and linking to the brand's own site as the canonical source. It is what a brand PUBLISHES after Mirror measures it: `
| Parameter | Type | Required | Notes |
|---|---|---|---|
| brand_name | string | yes | Exact public name of the brand. |
| official_url | string | yes | The brand's OWN official website (canonical). Must be the brand's domain — never Mirror's. |
| tagline | string | yes | One plain line: what it is and where. |
| description | string | yes | 1-2 factual sentences, ~160 characters. No marketing claims. |
| schema_type | string | yes | schema.org @type — e.g. GolfCourse, Restaurant, LodgingBusiness, Organization, LocalBusiness. |
| citations | array | yes | At least 3 authoritative sources from 3 DIFFERENT domains. |
| founding_year | string | no | Year established (YYYY). |
| address | object | no | {street, city, region, postal, country} |
| phone_e164 | string | no | E.164 format, e.g. +1-802-760-4653 |
| social | array | no | Official profile URLs. |
| public_access | boolean | no | Is it open to the public? The confusion-killer field. |
| overview | string | no | Short factual prose — what the brand is. |
| positioning | string | no | The most clarifying fact: category, who it serves, and what it is NOT. |
| history | string | no | Founding and lineage, factual. |
| differentiator | string | no | The notable, verifiable thing. |
| recognition | string | no | Awards or coverage, each traceable to a citation. |
| relationship | string | no | Who is asking, and on whose behalf. Only a request from someone representing the brand can become an authorized Record. |
| requester_contact | string | no | Email for Gate 2 follow-up. Without it a Record cannot be authorized. |
| requester_note | string | no | Why this request is being made. |
Measure a brand's presence on the MCP Engine — the 4th engine of brand discovery. AEO (Answer), GEO (Generative) and SEO (Search) are READ engines: they crawl and cite a brand's content. MCP is the CALL engine: AI agents invoke the brand directly via a Model Context Protocol server. This tool deterministically checks whether a brand exists on that layer — is it in the official MCP registry, does i
| Parameter | Type | Required | Notes |
|---|---|---|---|
| url | string | yes | Brand website URL (required), e.g. example.com |
| brand | string | no | Brand name (optional, improves registry matching) |
Free
$0 forever
- 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 Mirror — AI Citability or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: —
—Grade not published
No rule-by-rule report on file for this release
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.
1.0.0
undated
latestNo release note was published with this version.
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no reviews yet
Who can review
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.
Sign in to write one
Any signed-in account that does not publish Mirror — AI Citability can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
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.