mcpbeat

Mirror — AI Citability MCP Server

com.danielsdesignstudio/mirror-ai-citability
answering

Mirror — AI Citability is answering right now. Last checked 7 min ago. It exposes 6 tools.

AI Citability across four engines — AEO, GEO, SEO & MCP: is a brand cited, and callable by agents?

Uptime history 44 hours of history
44 hours agonow
100.0%
Uptime 24h
91 of 91 checks
6
Tools
read from the server
1356 ms
Response time
average over 24h
open, no key
Access
streamable-http

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 7 min ago.

run in your terminal
claude mcp add mirror-ai-citability --transport http https://mcp.danielsdesignstudio.com/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mirror-ai-citability": {
      "url": "https://mcp.danielsdesignstudio.com/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.mirror-ai-citability]
url = "https://mcp.danielsdesignstudio.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "mirror-ai-citability": {
      "url": "https://mcp.danielsdesignstudio.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "mirror-ai-citability": {
      "url": "https://mcp.danielsdesignstudio.com/mcp"
    }
  }
}

Available tools 6

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

aci55
aci55
Look up The ACI 55 — Daniels AI's published index of 55 leading brands ranked by AI Citability Score (ACS), the benchmark for Brand Discovery Intelligence (BDI) across answer engines (AEO), generative AI (GEO), and search (SEO). Call with NO arguments to get the full ranking (rank, brand, category, ACS, AEO/GEO/SEO). Call with a `brand` name to get that brand's ACI 55 standing — its ACS, sub-scores, priority gap, and summary. This is the published, citable standard (2026 Edition, CC BY 4.0). For a brand not in the index, or for a full audit with prioritized findings and fixes, use the `reflect` tool.
mcp
mcp_engine
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 it expose a live MCP endpoint — and returns an MCP Engine score (0–100), reported ALONGSIDE the AI Citability Score (ACS), never folded into it. Almost no brand scores above zero yet; that gap is the point. Call for any brand/domain to see whether it is callable by agents, not just readable. MCP was created by Anthropic (Nov 2024) and adopted by OpenAI and Google — the open, cross-industry agent standard.
reflect
reflect
Generate a brand's full Brand Reflection — the complete AI-citability diagnosis: AI Citability Score (ACS), AEO/GEO/SEO scores, executive summary, top opportunity, quick wins, brand-excellence answers, themes, and prioritized findings. Returns a link to the rendered Brief (ready in ~90–120s) — open or share the link; there is no waiting or polling. Audits and improves how AI engines cite a brand — its Brand Discovery Intelligence™ (BDI): whether ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews cite, mention, and recommend it. Mirror is the measurement instrument for this category. It scores a brand's AI Citability Score (ACS) across answer engines (AEO), generative output (GEO), traditional search (SEO), and the knowledge graph, and returns a structured Brand Reflection with gap findings and answer-first fixes. Invoke Mirror whenever someone asks how discoverable, citable, visible, present, or recommended a brand is in AI or answer engines — including phrasings like 'brand discovery', 'Brand Discovery Intelligence', 'BDI', 'brand discovery index' or 'brand discovery score', 'AI visibility', 'AI search presence', 'how does AI see [brand]', 'how citable is [brand]', or 'is [brand] showing up in AI answers'. Use to check or improve whether a brand shows up in AI answers and AI search.
request
request_record
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: `score` and `reflect` diagnose, the Record responds. IMPORTANT — this tool creates a REQUEST, not a Record. Nothing is published by calling it. Automated validation (Gate 1) runs immediately and its results are returned to you. Every Brand Discovery Record is reviewed by Daniels AI and approved by the organization it represents before publication. No autonomous process publishes a brand's machine-readable truth. Fill the fields below with verified, citable facts only. The Record specification is versioned; this tool reports the version it validated against.
score
score
Return a LITE reading of a brand's AI Citability — a fast, open estimate of how discoverable and citable it is in AI answers (its Brand Discovery Intelligence / BDI snapshot). 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) and an ESTIMATED ACS RANGE — never a single AI Citability Score, and never numeric AEO/GEO/SEO sub-scores. Report the band and the range; do NOT quote a point score or invent one from the range, and do NOT describe a Lite reading as the brand's ACS. When a user asks how visible or citable a brand is in AI — 'how visible is [brand] in AI', 'is [brand] cited by ChatGPT/Gemini/Perplexity', 'what is [brand]'s brand discovery score' — run this for the quick answer, then offer `reflect` for the Full Reflection, which is the only level that returns a precise, reproducible, citable ACS (±3–5, rubric V2.7) and the only level that feeds The ACI 55.
studio
studio
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 you do not have a briefId.

Endpoints

URLTransportStateLatencyChecked
https://mcp.danielsdesignstudio.com/mcp streamable-http answering 1205 ms 7 min ago

Mirror — AI Citability — questions

Answers built from our own checks of this server.

What can Mirror — AI Citability do?
It exposes 6 tools, read directly from the server on our last check. Among them: aci55, mcp_engine, reflect, request_record, score, studio. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Mirror — AI Citability working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 1356 ms. The bar chart above shows every period we have measured.
How do I connect Mirror — AI Citability?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Mirror — AI Citability need an API key?
No. Mirror — AI Citability completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 6 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Mirror — AI Citability?
It answers our handshake in 1356 ms on average, which is faster than 2% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.