VerifEye

Name: VerifEye
Author: Realeyes

by Realeyesversion 1.1.1i★ –iRuns in the cloud

Registry nameai.realeyes/verifeye

Install

Overview

Description from the maker (original English)

VerifEye Face API: Identify (apparent age, gender, emotions, attention), Onboard and Compare faces.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi2 of 3 passedChecked from public information; code not scanned yet
UsageiVery new★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 2 of 3 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://verifeye-mcp-server.realeyes.ai/mcp

Run this in your terminal

claude mcp add --transport http verifeye https://verifeye-mcp-server.realeyes.ai/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "verifeye": {
      "url": "https://verifeye-mcp-server.realeyes.ai/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "verifeye": {
      "type": "http",
      "url": "https://verifeye-mcp-server.realeyes.ai/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://verifeye-mcp-server.realeyes.ai/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

The server asks you to sign in before it lists its tools.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain realeyes.ai (the registry checks domain ownership)
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
✓ Pass
Endpoint responds
Responded in 403 ms (HTTP 401)
! Caution
Sign-in with OAuth
Needs a key or token that you copy and paste yourself
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

More stars than 0% of the other 18676 servers in this category
Published to the registry more recently than 65% of the other 18676 servers in this category
Basic checks equal to or better than 37% of the other 18676 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is VerifEye safe?

It passed 2 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.1.1) reached the registry 23 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Mcphost

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Mcphost

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by j0yenEarlyUpdated today

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

VerifEye MCP Server

The VerifEye MCP Server is a remotely hosted Model Context Protocol (MCP) server from Realeyes. It exposes the VerifEye Face API as tools an AI assistant can call: analyze a face for apparent age and gender plus momentary emotions and attention (Identify), onboard a face so the same person is identified later (Onboard), compare an image against one onboarded face (Compare), and manage the collections onboarded faces live in.

The server is hosted by Realeyes, so there is nothing to install or run. This repository holds its public listing metadata for MCP registries: server.json.

Full documentation: https://verifeye-docs.realeyes.ai/verifeye-apis/mcp-server/

Server URL

https://verifeye-mcp-server.realeyes.ai/mcp

Transport: Streamable HTTP. This is the server's only address. If a registry or directory lists a different one, do not connect to it, and contact us.

Requirements

A VerifEye Developer Console account.
An MCP client that supports remote MCP servers with OAuth.

Authentication

The server uses OAuth 2.1 (authorization code with PKCE). When you connect, a VerifEye sign-in and consent screen opens in your browser. You never put an API key into your MCP client: your account's API key is resolved on the server side and is never exposed to the client.

The server offers no dynamic client registration. ChatGPT, VS Code and Codex identify themselves with a Client ID Metadata Document, so there is nothing to enter. Claude, Claude Code, Cursor and the Gemini CLI use a pre-registered client ID.

Connecting a client

Step-by-step setup for Claude Code, Claude, ChatGPT, VS Code, Cursor, the Gemini CLI and Codex, including the client ID each one needs, is in the documentation: Connecting a client.

For example, in VS Code add .vscode/mcp.json to your project root:

"servers": { "verifeye": { "type": "http", "url": "https://verifeye-mcp-server.realeyes.ai/mcp" } } }

Start the server from the MCP: List Servers command, then sign in when the browser opens.

Using the server

Once the server is connected and you have signed in, ask in plain language and the assistant picks the tools.

Give the image as a link. The image tools take a public URL of a JPEG or PNG image, which VerifEye fetches itself. An image attached to the conversation cannot be passed to a tool, so put the image somewhere reachable and give the assistant that link. Prefer a pre-signed link that expires in minutes to a durably public URL. Where the server offers verifeye_get_upload_url and your client can make HTTPS requests of its own, the client can upload the image instead. Image requirements: documentation.

Choose the region. Every call runs in the EU (eu) unless you ask for the US (us). Collections are per region, so ask for the same region each time you work with a collection.

Example prompts

The image links are placeholders: use a link to your own image. Prompts 2 to 5 build on each other and use the collection and the face that prompt 2 creates.

#	Prompt	What happens
1	"Estimate the apparent age and gender of the face in https://example.com/photos/visitor.jpg."	`verifeye_identify_face` analyzes the face and returns the estimates. No face or image is stored.
2	"Create a VerifEye collection called front-desk-visitors, then onboard the face in https://example.com/photos/visitor-1042.jpg into it with the external key visitor-1042."	`verifeye_create_collection` creates the collection, and `verifeye_onboard_face` stores the face template with that key. Onboarding stores biometric data: see Biometric data and consent.
3	"Is the person in https://example.com/photos/today.jpg already in my front-desk-visitors collection?"	`verifeye_identify_face` with that collection answers `Existing`, with the `faceId` and the key, when the photo shows the person onboarded in prompt 2, and `NotExisting` for anyone else. Nothing is onboarded.
4	"Compare the face in https://example.com/photos/check-in.jpg with visitor-1042 in front-desk-visitors."	`verifeye_get_face_by_key` finds the `faceId`, and `verifeye_compare_face` returns the similarity and VerifEye's `isMatch` verdict.
5	"Delete visitor-1042's face from front-desk-visitors."	`verifeye_get_face_by_key` finds the face, and `verifeye_delete_face` destroys its template. This cannot be undone.

Many clients ask you to approve a call before it runs, for example before a face is onboarded or deleted.

Tools

Every tool takes region (eu or us, eu by default), which selects where the image is processed and where a collection lives. Collections are per region: one created in eu is not visible from us.

Tool	What it does	Stores or destroys data
`verifeye_identify_face`	Analyzes the face(s) in an image, and identifies them against a collection if you name one	No
`verifeye_onboard_face`	Onboards the face(s) in an image into a collection so the person is identified later	Stores a face template
`verifeye_compare_face`	Compares the face(s) in an image against one onboarded face	No
`verifeye_delete_face`	Deletes one onboarded face	Irreversible
`verifeye_list_collections`	Lists the collections on the account, or checks whether one exists	No
`verifeye_create_collection`	Creates an empty collection	No
`verifeye_set_collection_description`	Replaces a collection's description	No
`verifeye_reset_collection`	Deletes every face in a collection, keeping the collection	Irreversible
`verifeye_delete_collection`	Deletes a collection and every face in it	Irreversible
`verifeye_get_face_by_key`	Finds an onboarded face by your own identifier	No
`verifeye_set_face_key`	Attaches your own identifier to an onboarded face	No
`verifeye_delete_face_key`	Removes your identifier from an onboarded face	Loses the way of finding the face
`verifeye_get_upload_url`	Hands back a short-lived form for uploading one image	No

Parameters, results and error codes for each tool are in the documentation.

Biometric data and consent

These tools process facial (biometric) data. You are responsible for obtaining valid, informed consent before a call runs, and for meeting the privacy and biometric-data regulations that apply to the people in your images (for example GDPR, BIPA and CCPA).

verifeye_onboard_face stores a face template that persists until it is deleted.
verifeye_delete_face, verifeye_reset_collection and verifeye_delete_collection destroy face templates permanently.
Age is an apparent-age estimate, not a legal proof of age. Gender is a demographic estimate, not a self-declared identity attribute. A face match is evidence of similarity, not an identity check on its own.
Tool calls run as your VerifEye account and count against your account's usage limits.

VerifEye

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Mcphost

README from the maker

VerifEye MCP Server

Server URL

Requirements

Authentication

Connecting a client

Using the server

Example prompts

Tools

Biometric data and consent

Links