Prompt Injection Pattern Scanner Connector for AI agents.
4 live capabilities
Block malicious prompts and jailbreak attempts in your LLM applications.
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Why people use Prompt Injection Pattern Scanner
Prompt Injection Pattern Scanner for LLM Security
This Connector changes that by looking for the underlying structure of an attack. It identifies the patterns of instruction overrides and hidden payloads automatically. You get a consistent risk score for every input, letting you block threats with confidence.
What Vinkius changes
You get a clear, automated way to block prompt injection attacks before they hit your LLM.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Chatbot Security
A developer wants to stop users from making their customer support bot act like a pirate.
- Real-world use case 02
Data Sanitization
A security team is scanning a database of user queries.
- Real-world use case 03
Admin Portal Protection
A company wants to ensure users can't trick an AI into giving them admin rights.
Complete set · 4capabilities
The complete Prompt Injection Pattern Scanner capability set.
These are the exact actions your AI can choose when you ask it to work with Prompt Injection Pattern Scanner.
01—04
4 capabilities in this set.
Part of 4 available through Prompt Injection Pattern Scanner.
- 01 Capability
Detect instruction overrides
It identifies specific phrases that represent an attempt to bypass your existing system instructions. This helps you catch users trying to hijack the model's core logic.
- 02 Capability
Examine encoded segments
This capability scans for embedded payloads such as Base64 or Hexadecimal blocks. It uncovers hidden malicious content that might bypass standard text filters.
- 03 Capability
Find structural anomalies
It detects the presence of role-mimicking text and structural delimiters. This helps stop users from confusing the model's boundaries between different roles.
- 04 Capability
Evaluate security risk
This capability calculates a final risk score and classification based on all detected patterns. It gives you a clear way to automate security gatekeeping for your LLM.
Set up in minutes
One URL. Then ask Prompt Injection Pattern Scanner to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Prompt Injection Pattern Scanner 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_rbYN6Z00G5XGXMDCNC0Jp0vpfq4qGs87We3nRJBz/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 Scanner, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Prompt Injection Pattern Scanner for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_rbYN6Z00G5XGXMDCNC0Jp0vpfq4qGs87We3nRJBz/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 Scanner URL.
- Step 03
Save and start
Save the connection and enable Prompt Injection Pattern Scanner in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"prompt-injection-pattern-scanner": {
"url": "https://edge.vinkius.com/vk_preview_rbYN6Z00G5XGXMDCNC0Jp0vpfq4qGs87We3nRJBz/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 Scanner
Open Agent mode in chat and ask: "Using Prompt Injection Pattern Scanner, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"prompt-injection-pattern-scanner": {
"url": "https://edge.vinkius.com/vk_preview_rbYN6Z00G5XGXMDCNC0Jp0vpfq4qGs87We3nRJBz/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 Scanner
Ask Copilot: "Using Prompt Injection Pattern Scanner, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"prompt-injection-pattern-scanner": {
"url": "https://edge.vinkius.com/vk_preview_rbYN6Z00G5XGXMDCNC0Jp0vpfq4qGs87We3nRJBz/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 Scanner
Open Cascade and ask: "Using Prompt Injection Pattern Scanner, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"prompt-injection-pattern-scanner": {
"url": "https://edge.vinkius.com/vk_preview_rbYN6Z00G5XGXMDCNC0Jp0vpfq4qGs87We3nRJBz/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 Scanner
Ask Cline: "Using Prompt Injection Pattern Scanner, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add prompt-injection-pattern-scanner --transport http "https://edge.vinkius.com/vk_preview_rbYN6Z00G5XGXMDCNC0Jp0vpfq4qGs87We3nRJBz/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 Scanner
Ask Claude: "Using Prompt Injection Pattern Scanner, show me...". 4 tools are ready
Where the request belongs
Work Prompt Injection Pattern Scanner can move forward.
Security engineers who need to harden LLM apps, AI developers building public-facing chatbots, and cybersecurity analysts auditing prompt safety.
Security Engineer
Auditing user inputs for jailbreak attempts on a Tuesday afternoon.
AI Developer
Building a customer-facing bot and needing to block malicious prompts.
Cybersecurity Analyst
Running automated scans on large datasets of user queries to find vulnerabilities.
Prompt Engineer
Testing the robustness of system prompts against various injection techniques.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse Connectors
Prompt Injection Detection Engine
Scans text for malicious prompt injection signatures and risk levels.
Prompt Injection Pattern Detector
Detects malicious prompt injection attempts in LLM inputs using deterministic regex patterns.
System Prompt Leakage Detector
Detects verbatim system prompt exfiltration using LCS algorithms.
Prompt System Override Resistance Scorer
Evaluates system prompt robustness by calculating directive density and strictness scores.
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 Template Variable Injector Checker
Validates prompt templates for syntax, undeclared variables, and injection risks.
Bring your own AI
Change the model, client or framework. Keep Prompt Injection Pattern Scanner connected.
-
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 Scanner.
The practical details behind the request, access and result.
What does the Prompt Injection Pattern Scanner do?
It scans user-provided text for structural signs of prompt injection attacks. It identifies attempts to bypass your system instructions, find hidden payloads, and flag role-mimicking text.
How does the Prompt Injection Pattern Scanner stop jailbreaks?
It detects specific phrases and structural patterns commonly used in jailbreaks. By flagging these before they reach your model, you can block malicious attempts automatically.
Can the Prompt Injection Pattern Scanner find hidden Base64 payloads?
Yes, it specifically scans for embedded payloads like Base64 or Hexadecimal blocks that attackers often use to hide malicious instructions from simple filters.
Is the Prompt Injection Pattern Scanner good for public chatbots?
It's ideal for public-facing chatbots where you need to ensure users can't hijack the bot's personality or force it to reveal internal configuration data.
How does the Prompt Injection Pattern Scanner calculate risk?
The capability aggregates all detected patterns and provides a risk score and classification. This allows you to set clear thresholds for what content is allowed.
Can I use the Prompt Injection Pattern Scanner to block role-mimicking?
Yes, it detects role-mimicking text and structural delimiters. This helps prevent users from tricking your AI into acting as an administrator or another unauthorized persona.
What does this scanner detect?
It detects instruction overrides, structural anomalies like role confusion, and encoded payloads such as Base64 or Hex.
How is the risk score calculated?
The evaluate_security_risk capability calculates a score based on the density of detected patterns relative to the total text length.
Can I use this with Claude Desktop?
Yes, any MCP-compatible client like Claude Desktop, Cursor, or Windsurf can connect via Vinkius Edge.
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