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Engagemii Citation Watch

REMOTE · API.ENGAGEMII.COM · SCANNED SEP 25

Brands ChatGPT names for real buyer questions, updated every 30 minutes, with AI visibility scores.

64 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security63
Transport & Reachability100
Schema Quality & AI Usability71
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 1960 tokens (~150/item across 13 items; 13 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management7
  • Stability observed for 2 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage87
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 60% of tool parameters carry a description.Partial
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 13 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 14 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities40
  • Spec-recency check failed: implements MCP spec 2025-03-26; the latest is 2026-07-28. See how to fix → Fail
Install

How do I install the Engagemii Citation Watch MCP server?

Engagemii Citation Watch is a hosted endpoint at https://api.engagemii.com/api/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · api.engagemii.com

# add to Claude Code
claude mcp add --transport http com-engagemii-citation-watch 'https://api.engagemii.com/api/mcp'
// .cursor/mcp.json
{
  "mcpServers": {
    "com-engagemii-citation-watch": {
      "url": "https://api.engagemii.com/api/mcp"
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "com-engagemii-citation-watch": {
      "type": "http",
      "url": "https://api.engagemii.com/api/mcp"
    }
  }
}
# ~/.codex/config.toml
[mcp_servers.com-engagemii-citation-watch]
url = "https://api.engagemii.com/api/mcp"
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "com-engagemii-citation-watch": {
      "type": "remote",
      "url": "https://api.engagemii.com/api/mcp",
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add com-engagemii-citation-watch --url 'https://api.engagemii.com/api/mcp' --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  com-engagemii-citation-watch:
    url: "https://api.engagemii.com/api/mcp"
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "com-engagemii-citation-watch": {
      "Transport": "http",
      "Url": "https://api.engagemii.com/api/mcp"
    }
  }
}
# add to Vellum
assistant mcp add com-engagemii-citation-watch -t streamable-http -u 'https://api.engagemii.com/api/mcp'
// mcp.json
{
  "mcpServers": {
    "com-engagemii-citation-watch": {
      "type": "http",
      "url": "https://api.engagemii.com/api/mcp"
    }
  }
}

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 25 Sept 26 +1
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 24 Sept 26 0
    • Stability: unverified → 0.03 ▲ functional
  • 23 Sept 26 63

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 25 Sept 2026 · Probed https://api.engagemii.com/api/mcp

TLS valid

Negotiated TLS 1.2 with TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=api.engagemii.com CN=Amazon RSA 2048 M04,O=Amazon,C=US 24 Jul 2026 6 Feb 2027 RSA 2048 SHA256-RSA 6058c71674461faa5fa1f43d61e11dd
SANs: api.engagemii.com, www.api.engagemii.com, ekh9avonck5by2ww1h9nmyrlhdng554.api.engagemii.com
CN=Amazon RSA 2048 M04,O=Amazon,C=US (CA) CN=Amazon Root CA 1,O=Amazon,C=US 23 Aug 2022 23 Aug 2030 RSA 2048 SHA256-RSA 773124f2a952e3ed18a58bdb85d1bc0ce5f27
CN=Amazon Root CA 1,O=Amazon,C=US (CA) CN=Starfield Services Root Certificate Authority - G2,O=Starfield Technologies\, Inc.,L=Scottsdale,ST=Arizona,C=US 25 May 2015 31 Dec 2037 RSA 2048 SHA256-RSA 67f944a2a27cdf3fac2ae2b01f908eeb9c4c6

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of api.engagemii.com. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
com. present 19718 13 Verified
engagemii.com. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200
Header Value
strict-transport-security max-age=31536000; includeSubDomains
content-security-policy default-src 'self';script-src 'self' 'unsafe-inline' https://accounts.google.com https://apis.google.com;frame-ancestors 'self' https://*.myshopify.com https://myshopify.com;frame-src 'self' https://accounts.google.com;connect-src 'self' https://accounts.google.com https: wss:;img-src 'self' data: https:;base-uri 'self';font-src 'self' https: data:;form-action 'self';object-src 'none';script-src-attr 'none';style-src 'self' https: 'unsafe-inline';upgrade-insecure-requests
x-content-type-options nosniff
referrer-policy no-referrer

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://api.engagemii.com/api/mcp Verified 200
http (plaintext) http://api.engagemii.com/api/mcp HTTPS enforced 301 https://api.engagemii.com:443/api/mcp
MCP tools · 13 exposed · ~1,618 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
aeo_audit ~114

Run a LIVE AEO audit of a site right now: fresh fetch of the homepage, robots.txt, sitemap, llms.txt, and about page, scored on the six on-page categories with concrete recommendations. Use this to verify fixes immediately after applying them; aeo_score returns the stored dataset score, which updates when Engagemii next crawls the site. Free, no auth, up to 5 live audits per hour.

NameTypeReqDescription
domainstringyesCompany domain or URL, e.g. example.com

No output schema declared.

No examples provided.

aeo_score ~87

Get the Engagemii AEO score (0-10) for any company domain, with the six on-page sub-scores, seven off-page authority signals, and the llms.txt audit verdict. Drawn from Engagemii's 40 million+ scored-company dataset. Free, no auth.

NameTypeReqDescription
domainstringyesCompany domain or URL, e.g. example.com

No output schema declared.

No examples provided.

ai_readstream ~125

Which AI engines are reading the business web right now. Server-side, IP-verified crawler logs across one of the largest networks of business pages online. Returns per-engine reads over the last ten minutes, the last 24 hours and all time, plus a daily series. Free, no auth. Use this to answer 'which AI crawler is most active', 'how much is Claude reading compared to GPTBot', or 'is AI crawling going up'.

NameTypeReqDescription
daysnumber–How many days of the daily series to return, 0 to 30. Default 7.

No output schema declared.

No examples provided.

brand_profile ~47

Full public profile for a scored company: score breakdown, category, geography, detected platform, social profiles, AI-crawler visit counts. Free, no auth.

NameTypeReqDescription
domainstringyes–

No output schema declared.

No examples provided.

citation_watch ~152

What ChatGPT is recommending right now. Every 30 minutes Engagemii puts a real, non-branded buyer question to ChatGPT with live web search and records which brands it names, alongside each brand's standing AI visibility score (computed before the question was asked). Returns the last 48 hours. Free, no auth. Use this to answer questions like 'which brands does AI recommend in category X' or 'is an AI visibility score related to being recommended'.

NameTypeReqDescription
categorystring–Optional filter, e.g. Legal, Finance & Insurance, Fashion & Apparel. Case-insensitive substring match.
limitnumber–How many checks to return, 1 to 50. Default 20.

No output schema declared.

No examples provided.

connect_tracker ~230

Set up free Engagemii AI-crawler monitoring for a site, entirely from here. It provisions the owner's free account and tracker key and returns a small install snippet (Node/Express, Next.js, PHP, or Cloudflare Worker) with the key already in it. Install the one that matches the site's stack (if you are working in the site's own code, just add the file yourself) and AI-bot visits start reporting; the owner watches them per bot, per day at the dashboard link. Requires the owner's email. Before connecting, tell the owner: Engagemii is free because it licenses the AI-crawler activity data the tracker collects, in aggregated form and, unless the owner opts out in portal settings, identified by their domain. The tracker records bot visits only, never their human visitors. Only connect if the owner is fine with that.

NameTypeReqDescription
domainstringyesThe site, e.g. example.com
emailstringyesThe site owner's email (required)
platformstring–The site's stack, if known. Omit to get all four snippets.

No output schema declared.

No examples provided.

data_records ~191

Pull full licensed records from the Engagemii dataset (all columns, fingerprinted, the same shape a purchased file delivers). METERED: every record returned is deducted from the account's purchased API quota, so keep limits small in conversation (default 25, max 100 here). For bulk pulls use the raw API: POST https://api.engagemii.com/api/v1/data/records with the same key and filters (up to 10,000 per call). Requires an Engagemii data API key. To browse without spending quota, use search_companies or dataset_sample instead.

NameTypeReqDescription
industriesarray––
limitnumber–records to draw (each costs 1 quota). Default 25, max 100 in-chat.
scopestring––
scoreMaxnumber––
scoreMinnumber––
statesarray––

No output schema declared.

No examples provided.

data_signup ~167

Create a free Engagemii data account. We email a verification link to the address; the account's API key (edk_...) stays inactive until the user clicks it, then the key appears in the portal and unlocks search_companies and data_records. Requires the user's email, a password of their choosing (8+ characters), their company name, and their EXPLICIT confirmation that they accept the data license at https://engagemii.com/aeo/data/license. Only set license_accepted to true if the user actually said yes.

NameTypeReqDescription
company_namestringyes–
emailstringyes–
license_acceptedbooleanyestrue ONLY if the user explicitly accepted the license
passwordstringyes8+ characters, chosen by the user

No output schema declared.

No examples provided.

dataset_sample ~39

15 random live rows from the Engagemii dataset in exactly the shape a purchased file delivers (same columns, same cleaning). Free, no auth.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

free_kit ~206

Request the FREE Customized Fix Kit for a domain. There is one kit and it is free: eight fix files written from the site's ACTUAL content (Organization and FAQ JSON-LD, meta description, llms.txt, robots patch, Wikidata guide, Google Business checklist, README) plus a full PDF audit. Flow: pass the owner's email; Engagemii emails a verification link; after the owner clicks it the kit is built and the download link is emailed automatically. Kits are queued, so delivery is by email rather than in-chat. One kit per domain; repeat requests resend the stored kit.

NameTypeReqDescription
domainstringyesThe site, e.g. example.com
emailstringyesThe site owner's email (the verification link and the kit go there)
owner_confirmedbooleanyesConfirm with the user that this is their own brand. Agencies working on client sites should use the data portal (engagemii.com/aeo/data) instead.

No output schema declared.

No examples provided.

kit_checkout ~75

RETIRED: the Customized Fix Kit is now free, so there is nothing to buy. Call free_kit with the owner's email instead; the kit arrives by email after a one-click verification. This tool remains only so older conversations get a helpful answer.

NameTypeReqDescription
domainstring–The site, e.g. example.com

No output schema declared.

No examples provided.

kit_download ~74

After a paid kit_checkout, receive all eight Customized Fix Kit files plus the badge embed as plain text so an agent can apply them directly to the codebase and re-run aeo_audit to verify the improvement. Requires the Stripe session id (cs_...) from the checkout success URL.

NameTypeReqDescription
session_idstringyes–

No output schema declared.

No examples provided.

search_companies ~111

Query the scored dataset with filters (industries, states, score range, scope us|all). Returns up to 100 light rows. Requires an Engagemii data API key.

NameTypeReqDescription
industriesarray–Business categories, e.g. Technology, Healthcare
limitnumber–max 100
scopestring–us = verified US companies; all = worldwide
scoreMaxnumber––
scoreMinnumber––
statesarray––

No output schema declared.

No examples provided.

Common questions

What is the Engagemii Citation Watch MCP server?

Engagemii Citation Watch is an MCP server listed in the public MCP registry as com.engagemii/citation-watch. Brands ChatGPT names for real buyer questions, updated every 30 minutes, with AI visibility scores. This page covers its hosted endpoint (https://api.engagemii.com/api/mcp).

Is the Engagemii Citation Watch MCP server safe to use?

Engagemii Citation Watch scores 64 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Engagemii Citation Watch MCP server expose?

Engagemii Citation Watch exposes 13 tools: aeo_score, aeo_audit, brand_profile, dataset_sample, citation_watch, and 8 more. Their descriptions and schemas cost roughly 1,618 tokens of context every time the server is loaded.

Does the Engagemii Citation Watch MCP server require authentication?

No. We connected to Engagemii Citation Watch without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the Engagemii Citation Watch MCP server still maintained?

Engagemii Citation Watch is still listed as active in the MCP registry. We last reached this channel on 25 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.