Prompt Injection Pattern Detector Connector for AI agents.
3 live capabilities
Protect your agent from instruction overrides and system leakage
Waiting for input…
Why people use Prompt Injection Pattern Detector
Stop Prompt Injection Attacks with Prompt Injection Pattern Detector
This Connector automates the detection process, giving you a score to act on instantly. You get a way to block threats before they ever touch your core logic.
What Vinkius changes
You get an automated way to block prompt-based attacks before they reach your core logic.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Customer Support Bot Protection
A user tries to trick a support bot into giving free discounts by overriding its instructions.
- Real-world use case 02
Public AI Interface Security
Someone attempts to extract your internal capability definitions via a web chat.
- Real-world use case 03
Automated Email Processing
An agent processing emails encounters a malicious payload designed to hijack its workflow.
Complete set · 3capabilities
The complete Prompt Injection Pattern Detector capability set.
These are the exact actions your AI can choose when you ask it to work with Prompt Injection Pattern Detector.
01—03
3 capabilities in this set.
Part of 3 available through Prompt Injection Pattern Detector.
- 01 Capability
Get pattern definitions
Retrieves the current library of deterministic regex patterns used for detection
- 02 Capability
Analyze input safety
Evaluates a specific text input to determine if it contains malicious injection patterns
- 03 Capability
Batch scan inputs
Evaluates multiple user inputs in a single operation for high-throughput security filtering
Set up in minutes
One URL. Then ask Prompt Injection Pattern Detector to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Prompt Injection Pattern Detector from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_z2MkPqGwQivmoTOnvezCscmmXwazSBqreqAyOWwf/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Prompt Injection Pattern Detector, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Prompt Injection Pattern Detector for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_z2MkPqGwQivmoTOnvezCscmmXwazSBqreqAyOWwf/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Prompt Injection Pattern Detector URL.
- Step 03
Save and start
Save the connection and enable Prompt Injection Pattern Detector in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"prompt-injection-pattern-detector": {
"url": "https://edge.vinkius.com/vk_preview_z2MkPqGwQivmoTOnvezCscmmXwazSBqreqAyOWwf/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Prompt Injection Pattern Detector
Open Agent mode in chat and ask: "Using Prompt Injection Pattern Detector, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"prompt-injection-pattern-detector": {
"url": "https://edge.vinkius.com/vk_preview_z2MkPqGwQivmoTOnvezCscmmXwazSBqreqAyOWwf/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Prompt Injection Pattern Detector
Ask Copilot: "Using Prompt Injection Pattern Detector, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"prompt-injection-pattern-detector": {
"url": "https://edge.vinkius.com/vk_preview_z2MkPqGwQivmoTOnvezCscmmXwazSBqreqAyOWwf/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Prompt Injection Pattern Detector
Open Cascade and ask: "Using Prompt Injection Pattern Detector, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"prompt-injection-pattern-detector": {
"url": "https://edge.vinkius.com/vk_preview_z2MkPqGwQivmoTOnvezCscmmXwazSBqreqAyOWwf/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Prompt Injection Pattern Detector
Ask Cline: "Using Prompt Injection Pattern Detector, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add prompt-injection-pattern-detector --transport http "https://edge.vinkius.com/vk_preview_z2MkPqGwQivmoTOnvezCscmmXwazSBqreqAyOWwf/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Prompt Injection Pattern Detector
Ask Claude: "Using Prompt Injection Pattern Detector, show me...". 3 tools are ready
Where the request belongs
Work Prompt Injection Pattern Detector can move forward.
Security engineers building LLM applications and developers deploying autonomous agents who cannot risk instruction hijacking or data leaks.
Security Engineer
Scans incoming agent traffic for prompt injection vulnerabilities during production monitoring.
AI Developer
Integrates a security layer into their agent's input pipeline to prevent system leakage.
Product Manager
Ensures customer-facing AI features do not accidentally leak proprietary capability definitions or instructions.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
Prompt Injection Pattern Scanner
Scans user-supplied text for structural patterns associated with prompt-injection attempts.
Prompt Injection Detection Engine
Scans text for malicious prompt injection signatures and risk levels.
System Prompt Leakage Detector
Detects verbatim system prompt exfiltration using LCS algorithms.
Prompt Injection Shield Prover
LLMs cannot distinguish system instructions from user input. This capability forces 5-layer injection defense analysis: intent isolation, privilege containment, indirect vector scanning, output sanitization, and scope enforcement. OWASP LLM Top 10 #1 compliance.
Prompt System Override Resistance Scorer
Evaluates system prompt robustness by calculating directive density and strictness scores.
Shumei Anti-Fraud
Bring Shumei's top-tier Anti-Fraud and Risk Control to your AI. Analyze text, images, and devices for malicious activity instantly.
Bring your own AI
Change the model, client or framework. Keep Prompt Injection Pattern Detector connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Prompt Injection Pattern Detector.
The practical details behind the request, access and result.
How does Prompt Injection Pattern Detector protect my Claude setup?
It acts as a security layer that scans every prompt sent to your client. It identifies and blocks malicious instructions before they can change how your agent behaves.
Can Prompt Injection Pattern Detector stop users from seeing my capabilities?
Yes. It specifically looks for attempts to probe capability definitions or system configurations, preventing users from scraping your internal setup details.
What is a good risk score threshold for Prompt Injection Pattern Detector?
Most developers set a threshold between 0.5 and 0.7. Anything above this score should be automatically blocked or flagged for manual review to ensure safety.
Does Prompt Injection Pattern Detector work with Cursor or Windsurf?
Yes, it works with any MCP-compatible client including Cursor and Windsurf. Once connected via Vinkius, your agent's inputs are protected across all these environments.
How do I use Prompt Injection Pattern Detector to find malicious text?
You simply pass untrusted user strings through the Connector. The capability will analyze the text and return a risk score and specific pattern matches for you to act upon.
What does this Connector detect?
It detects instruction overrides (e.g., 'ignore previous instructions') and attempts to probe system metadata or capability definitions.
How is the injection risk score calculated?
The score is a normalized value from 0.0 to 1.0, derived by weighing detected patterns and leakage attempts.
Can I use this with Claude Desktop?
Yes, you can connect this via Vinkius Edge to Claude Desktop, Cursor, VS Code, and Windsurf.
What does this MCP server detect?
It detects instruction overrides (e.g., 'ignore previous instructions') and attempts to probe system metadata or capability definitions.
How does the detection work?
The server uses deterministic regex matching to identify specific linguistic patterns like instruction overrides and persona adoption. This ensures high precision and avoids false positives on benign text.
Can I scan multiple inputs at once?
Yes, you can use the batch_scan_inputs capability to evaluate a collection of user inputs in a single operation for efficient security filtering.
What is the injection risk score?
The injectionRiskScore is a value between 0.0 and 1.0. A higher score indicates a higher confidence that the input contains a malicious injection attempt.
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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Give your agent a direct line to Prompt Injection Pattern Detector.
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