What is a Unicode homoglyph attack?

It is a spoofing technique where characters from different alphabets look identical to the human eye, such as a Cyrillic 'a' replacing a Latin 'a'.

How does this MCP detect hidden characters?

It scans the string for non-printing codepoints like zero-width spaces that are invisible in standard text displays.

Which AI clients can use this MCP?

You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

Is the detection method reliable?

Yes, the detection is performed via deterministic integer codepoint comparison to ensure accuracy.

Do I need to host the MCP myself?

No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after connection.

What are homoglyph attacks?

Homoglyph attacks occur when visually similar characters from different scripts (like Cyrillic or Greek) are used to impersonate Latin characters, potentially creating deceptive URLs or usernames.

How does the capability detect hidden characters?

The detect_hidden_characters capability scans for specific Unicode codepoints that have no visual width, such as U+200B (Zero Width Space), which are often used to hide malicious payloads.

Can I normalize strings using this server?

Yes, when using analyze_string_security, you can set the applyNormalization parameter to true to receive the string in its standardized NFC (Normalization Form Canonical Composition) format.

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Connect Unicode Normalization and Homoglyph Detec to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Catch visual spoofing and invisible character attacks instantly.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Unicode Normalization and Homoglyph Detector.

01
Analyze string security
This capability provides a high-level security assessment of any string you provide.
02
Inspect homoglyph substitutions
This capability isolates and reports only the specific visual substitutions found in a string.
03
Detect hidden characters
This capability scans a string to find the presence of invisible or zero-width characters.

Real work

What teams actually run

Domain Spoofing Checks

Verify if a URL uses lookalike characters to mimic a legitimate site.

Code Review Audits

Check source code for zero-width characters that might hide malicious logic.

Input Validation

Scan user-submitted text for characters designed to bypass security filters.

Data Integrity Verification

Ensure that strings in your database haven't been altered by invisible characters.

One connector, every AI

Unicode Normalization and Homoglyph Detector works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Unicode Normalization and Homoglyph Detector to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

657ms average. Fast in production.

Unicode Normalization and Homoglyph Detector is checked daily against the live service.

Daily averagePeak 814ms

Oct 3Today

Fastest day: 549ms
Slowest day: 814ms
14-day trend: Slowing+7%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Unicode Normalization and Homoglyph Detector, so you can see the experience inside your AI.

It does not authenticate your account with Unicode Normalization and Homoglyph Detector. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Unicode Normalization and Homoglyph Detector Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_brw1ch91jN7AcuEA8uccnvyhh8FVpllEmkNqeVKz/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Unicode Normalization and Homoglyph Detector capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "unicode-normalization-and-homoglyph-detector-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_brw1ch91jN7AcuEA8uccnvyhh8FVpllEmkNqeVKz/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Unicode Normalization and Homoglyph Detector in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Unicode Normalization and Homoglyph Detector owners hand off.

This MCP is built for professionals handling sensitive text data or code security.

01
Security Engineers
They hand off suspicious strings to the agent to check for spoofing attempts.
02
Software Developers
They use the agent to audit code or user inputs for hidden characters.
03
Fraud Analysts
They use the capability to verify if domain names or identifiers are visually deceptive.

FAQ

Questions Unicode Normalization and Homoglyph Detector owners ask.

01
What is a Unicode homoglyph attack?
It is a spoofing technique where characters from different alphabets look identical to the human eye, such as a Cyrillic 'a' replacing a Latin 'a'.
02
How does this MCP detect hidden characters?
It scans the string for non-printing codepoints like zero-width spaces that are invisible in standard text displays.
03
Which AI clients can use this MCP?
You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.
04
Is the detection method reliable?
Yes, the detection is performed via deterministic integer codepoint comparison to ensure accuracy.
05
Do I need to host the MCP myself?
No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after connection.
06
What are homoglyph attacks?
Homoglyph attacks occur when visually similar characters from different scripts (like Cyrillic or Greek) are used to impersonate Latin characters, potentially creating deceptive URLs or usernames.
07
How does the capability detect hidden characters?
The detect_hidden_characters capability scans for specific Unicode codepoints that have no visual width, such as U+200B (Zero Width Space), which are often used to hide malicious payloads.
08
Can I normalize strings using this server?
Yes, when using analyze_string_security, you can set the applyNormalization parameter to true to receive the string in its standardized NFC (Normalization Form Canonical Composition) format.

Explore

More in Security

Connect Unicode Normalization and Homoglyph Detector to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-03

Analyze string security

Inspect homoglyph substitutions

Detect hidden characters

What teams actually run

Domain Spoofing Checks

Code Review Audits

Input Validation

Data Integrity Verification

Building your own app? The connector is yours to use.

Unicode Normalization and Homoglyph Detector Connector

Claude Desktop

Security Engineers

Software Developers

Fraud Analysts

What is a Unicode homoglyph attack?

How does this MCP detect hidden characters?

Which AI clients can use this MCP?

Is the detection method reliable?

Do I need to host the MCP myself?

What are homoglyph attacks?

How does the capability detect hidden characters?

Can I normalize strings using this server?

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