How does this MCP detect prompt injections?

It uses strict, deterministic regex patterns to identify specific instruction overrides and persona adoption attempts.

Can I use this to scan many inputs at once?

Yes, you can use the batch_scan_inputs capability to perform bulk security scans on multiple inputs simultaneously.

What kind of patterns does it look for?

It looks for patterns related to instruction overrides, persona adoption, and attempts to extract system prompts.

Is this different from using an LLM to check for safety?

Yes. This MCP uses deterministic regex matching, which is more predictable and less prone to the probabilistic errors of an LLM.

Which AI clients can use this MCP?

Any MCP-compatible client like Claude, Cursor, or Windsurf can use this capability once connected through Vinkius.

How does the detection work?

The server uses deterministic regex patterns to match known injection signatures like 'ignore previous instructions' or 'you are now'. This ensures consistent results without the unpredictability of probabilistic models.

Can I scan multiple inputs at once?

Yes, you can use the batch_scan_inputs capability to process a list of multiple text strings in a single request.

What is the risk score?

The injection_risk_score is a decimal between 0.0 and 1.0. Higher scores indicate more severe or direct attempts to override system instructions.

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Connect Prompt Injection Pattern Detector 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. Stop malicious instruction overrides before they reach your agent.

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 Prompt Injection Pattern Detector.

01
Get pattern definitions
This capability pulls the current library of regex patterns used for detection. Use it to see exactly what the MCP is looking for.
02
Batch scan inputs
This capability runs a security scan on multiple inputs at once. It's built for processing large sets of data in one go.
03
Analyze input safety
This capability evaluates a single string for malicious patterns. It's the primary way to check a specific user input for injection risks.

Real work

What teams actually run

Real-time Input Filtering

Check every user message before it reaches your agent to block malicious commands.

Dataset Sanitization

Run batch scans on large logs of user interactions to identify past injection attempts.

Prompt Hardening

Use the pattern definitions to understand how attackers might target your specific system prompts.

Automated Security Audits

Integrate the MCP into your testing pipeline to scan generated inputs for safety violations.

One connector, every AI

Prompt Injection Pattern 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 Prompt Injection Pattern 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

874ms average. Fast in production.

Prompt Injection Pattern Detector is checked daily against the live service.

Daily averagePeak 1043ms

Oct 3Today

Fastest day: 725ms
Slowest day: 1043ms
14-day trend: Improving-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 Prompt Injection Pattern Detector, so you can see the experience inside your AI.

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

Prompt Injection Pattern Detector Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_z2MkPqGwQivmoTOnvezCscmmXwazSBqreqAyOWwf/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 — Prompt Injection Pattern Detector capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "prompt-injection-pattern-detector-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_z2MkPqGwQivmoTOnvezCscmmXwazSBqreqAyOWwf/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 Prompt Injection Pattern Detector in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Prompt Injection Pattern Detector owners hand off.

This MCP is built for developers and security teams building LLM-powered applications that face public user input.

01
AI Engineers
They use this to harden the prompts and inputs sent to their agents.
02
Security Researchers
They use the pattern library to test for new injection vulnerabilities.
03
Product Developers
They integrate this to prevent malicious users from breaking application logic.

FAQ

Questions Prompt Injection Pattern Detector owners ask.

01
How does this MCP detect prompt injections?
It uses strict, deterministic regex patterns to identify specific instruction overrides and persona adoption attempts.
02
Can I use this to scan many inputs at once?
Yes, you can use the batch_scan_inputs capability to perform bulk security scans on multiple inputs simultaneously.
03
What kind of patterns does it look for?
It looks for patterns related to instruction overrides, persona adoption, and attempts to extract system prompts.
04
Is this different from using an LLM to check for safety?
Yes. This MCP uses deterministic regex matching, which is more predictable and less prone to the probabilistic errors of an LLM.
05
Which AI clients can use this MCP?
Any MCP-compatible client like Claude, Cursor, or Windsurf can use this capability once connected through Vinkius.
06
How does the detection work?
The server uses deterministic regex patterns to match known injection signatures like 'ignore previous instructions' or 'you are now'. This ensures consistent results without the unpredictability of probabilistic models.
07
Can I scan multiple inputs at once?
Yes, you can use the batch_scan_inputs capability to process a list of multiple text strings in a single request.
08
What is the risk score?
The injection_risk_score is a decimal between 0.0 and 1.0. Higher scores indicate more severe or direct attempts to override system instructions.

Explore

More in Security

Connect Prompt Injection Pattern 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

Get pattern definitions

Batch scan inputs

Analyze input safety

What teams actually run

Real-time Input Filtering

Dataset Sanitization

Prompt Hardening

Automated Security Audits

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

Prompt Injection Pattern Detector Connector

Claude Desktop

AI Engineers

Security Researchers

Product Developers

How does this MCP detect prompt injections?

Can I use this to scan many inputs at once?

What kind of patterns does it look for?

Is this different from using an LLM to check for safety?

Which AI clients can use this MCP?

How does the detection work?

Can I scan multiple inputs at once?

What is the risk score?

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