Prompt Injection Detection Engine Connector for AI agents.
1 live capability
Stop malicious instruction overrides and delimiter attacks in your prompts.
Waiting for input…
Why people use Prompt Injection Detection Engine
Prevent prompt injection attacks with Prompt Injection Detection Engine
With this MCP, the engine automates the pattern matching. You get an immediate block flag and attack type categorization so you can react instantly.
What Vinkius changes
You get a deterministic way to stop prompt injection attacks.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
User input filtering
A developer uses analyze_prompt to scan chat messages for "ignore previous instructions" attacks.
- Real-world use case 02
Document retrieval safety
An agent scans retrieved PDF text for malicious delimiters before processing it.
- Real-world use case 03
Automated moderation
A system automatically blocks any user message that triggers a high match count in the engine.
Complete set · 1capability
The complete Prompt Injection Detection Engine capability set.
These are the exact actions your AI can choose when you ask it to work with Prompt Injection Detection Engine.
01
1 capability in this set.
Part of 1 available through Prompt Injection Detection Engine.
- 01 Capability
Analyze prompt
Scans text for known injection patterns and returns a risk score. It tells you if an input is safe or needs to be blocked.
Set up in minutes
One URL. Then ask Prompt Injection Detection Engine to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Prompt Injection Detection Engine 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_K7iGRqRRajazSjul2afMfg824IxPaf1VLOxZdHFQ/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 Detection Engine, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Prompt Injection Detection Engine for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_K7iGRqRRajazSjul2afMfg824IxPaf1VLOxZdHFQ/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 Detection Engine URL.
- Step 03
Save and start
Save the connection and enable Prompt Injection Detection Engine in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"prompt-injection-detection-engine": {
"url": "https://edge.vinkius.com/vk_preview_K7iGRqRRajazSjul2afMfg824IxPaf1VLOxZdHFQ/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 Detection Engine
Open Agent mode in chat and ask: "Using Prompt Injection Detection Engine, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"prompt-injection-detection-engine": {
"url": "https://edge.vinkius.com/vk_preview_K7iGRqRRajazSjul2afMfg824IxPaf1VLOxZdHFQ/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 Detection Engine
Ask Copilot: "Using Prompt Injection Detection Engine, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"prompt-injection-detection-engine": {
"url": "https://edge.vinkius.com/vk_preview_K7iGRqRRajazSjul2afMfg824IxPaf1VLOxZdHFQ/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 Detection Engine
Open Cascade and ask: "Using Prompt Injection Detection Engine, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"prompt-injection-detection-engine": {
"url": "https://edge.vinkius.com/vk_preview_K7iGRqRRajazSjul2afMfg824IxPaf1VLOxZdHFQ/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 Detection Engine
Ask Cline: "Using Prompt Injection Detection Engine, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add prompt-injection-detection-engine --transport http "https://edge.vinkius.com/vk_preview_K7iGRqRRajazSjul2afMfg824IxPaf1VLOxZdHFQ/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 Detection Engine
Ask Claude: "Using Prompt Injection Detection Engine, show me...". 1 tools are ready
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 Pattern Detector
Identify and score malicious instruction overrides and system metadata extraction attempts in user text.
System Prompt Leakage Detector
Detects verbatim leaks of system prompts within agent outputs 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
Quantify the structural integrity and resistance of LLM system prompts against manipulation.
Prompt Template Variable Injector Checker
Validates prompt templates for correct variable syntax, undeclared variables, and potential injection vectors.
Bring your own AI
Change the model, client or framework. Keep Prompt Injection Detection Engine 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 Detection Engine.
The practical details behind the request, access and result.
How does Prompt Injection Detection Engine protect my agent?
It scans inputs for known malicious patterns like instruction overrides and flags them for blocking.
Can Prompt Injection Detection Engine catch new, unknown attacks?
It focuses on known signatures and regex patterns, so it is best at catching established attack methods.
Is the Prompt Injection Detection Engine slow to use?
No, it uses fast string matching rather than heavy LLM processing, making it very low latency.
Does Prompt Injection Detection Engine work with Claude or Cursor?
Yes, you can connect it to any MCP-compatible client like Claude, Cursor, or Windsurf via Vinkius.
What happens if the engine finds a match?
It returns a block flag that your application can use to automatically reject the user's input.
How does the detection mechanism work?
The engine uses static pattern matching, including exact string matches and deterministic regex patterns, to identify known malicious signatures like 'System override' or delimiter manipulation. Capabilities available: analyze_prompt.
Does this server use LLMs for detection?
No, all detection is performed via static pattern matching and regex. This ensures low latency and deterministic results without the cost or unpredictability of LLM-based heuristics.
What information is returned after a scan?
The server returns an exact match count of detected signatures, the categorization of the attack type (e.g., role-play override), and a binary block flag indicating if the input should be blocked.
One connection away
Give your agent a direct line to Prompt Injection Detection Engine.
Connect Prompt Injection Detection Engine once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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