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.
Available components
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
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- Authorisation not fully verified: no authorisation is required to call this server, and 13 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. See how to fix → View diagnostics → Unverified
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
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
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
claude mcp add --transport http com-engagemii-citation-watch 'https://api.engagemii.com/api/mcp'
{
"mcpServers": {
"com-engagemii-citation-watch": {
"url": "https://api.engagemii.com/api/mcp"
}
}
} {
"servers": {
"com-engagemii-citation-watch": {
"type": "http",
"url": "https://api.engagemii.com/api/mcp"
}
}
} [mcp_servers.com-engagemii-citation-watch] url = "https://api.engagemii.com/api/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"com-engagemii-citation-watch": {
"type": "remote",
"url": "https://api.engagemii.com/api/mcp",
"enabled": true
}
}
} openclaw mcp add com-engagemii-citation-watch --url 'https://api.engagemii.com/api/mcp' --transport streamable-http
mcp_servers:
com-engagemii-citation-watch:
url: "https://api.engagemii.com/api/mcp" {
"McpServers": {
"com-engagemii-citation-watch": {
"Transport": "http",
"Url": "https://api.engagemii.com/api/mcp"
}
}
} assistant mcp add com-engagemii-citation-watch -t streamable-http -u 'https://api.engagemii.com/api/mcp'
{
"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.
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.
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 |
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 →
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.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | Company 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.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | Company 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'.
| Name | Type | Req | Description |
|---|---|---|---|
| days | number | – | 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.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | – |
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'.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | – | Optional filter, e.g. Legal, Finance & Insurance, Fashion & Apparel. Case-insensitive substring match. |
| limit | number | – | 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.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | The site, e.g. example.com |
| string | yes | The site owner's email (required) | |
| platform | string | – | 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.
| Name | Type | Req | Description |
|---|---|---|---|
| industries | array | – | – |
| limit | number | – | records to draw (each costs 1 quota). Default 25, max 100 in-chat. |
| scope | string | – | – |
| scoreMax | number | – | – |
| scoreMin | number | – | – |
| states | array | – | – |
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.
| Name | Type | Req | Description |
|---|---|---|---|
| company_name | string | yes | – |
| string | yes | – | |
| license_accepted | boolean | yes | true ONLY if the user explicitly accepted the license |
| password | string | yes | 8+ 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.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | The site, e.g. example.com |
| string | yes | The site owner's email (the verification link and the kit go there) | |
| owner_confirmed | boolean | yes | Confirm 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.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | – | 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.
| Name | Type | Req | Description |
|---|---|---|---|
| session_id | string | yes | – |
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.
| Name | Type | Req | Description |
|---|---|---|---|
| industries | array | – | Business categories, e.g. Technology, Healthcare |
| limit | number | – | max 100 |
| scope | string | – | us = verified US companies; all = worldwide |
| scoreMax | number | – | – |
| scoreMin | number | – | – |
| states | array | – | – |
No output schema declared.
No examples provided.
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.