Template Injection Sanitizer Connector for AI agents.
3 live capabilities
Stop prompt injection attacks in template engines
Waiting for input…
Why people use Template Injection Sanitizer
Preventing Template Injection with Template Injection Sanitizer
With this MCP, that manual scrubbing disappears. You just pass the input through, and the malicious syntax is neutralized. You get back clean text that's safe to use in your prompts, letting you focus on building features instead of chasing injection patterns.
What Vinkius changes
You get a clean, safe string that won't break your template logic.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Securing a customer support bot
A user tries to inject `{{ config.
- Real-world use case 02
Cleaning scraped web data
You're feeding thousands of scraped comments into an agent.
- Real-world use case 03
Hardening LangChain workflows
An attacker uses `__class__` to try and probe your system.
Complete set · 3capabilities
The complete Template Injection Sanitizer capability set.
These are the exact actions your AI can choose when you ask it to work with Template Injection Sanitizer.
01—03
3 capabilities in this set.
Part of 3 available through Template Injection Sanitizer.
- 01 Capability
Batch sanitize inputs
Cleans a large collection of strings at once. It's perfect for scrubbing entire datasets of user-generated content.
- 02 Capability
Get injection risk profile
Analyzes the density of malicious patterns. It tells you exactly how severe an injection attempt is.
- 03 Capability
Scan input security
Inspects a single string for dangerous syntax. It returns a version of the text with the threats removed.
Set up in minutes
One URL. Then ask Template Injection Sanitizer to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Template Injection Sanitizer 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_vMDH5jCrzNMNooAhjoj0JKMiAHZSQdLFg6lwOcCA/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 Template Injection Sanitizer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Template Injection Sanitizer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_vMDH5jCrzNMNooAhjoj0JKMiAHZSQdLFg6lwOcCA/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 Template Injection Sanitizer URL.
- Step 03
Save and start
Save the connection and enable Template Injection Sanitizer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"template-injection-sanitizer": {
"url": "https://edge.vinkius.com/vk_preview_vMDH5jCrzNMNooAhjoj0JKMiAHZSQdLFg6lwOcCA/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 Template Injection Sanitizer
Open Agent mode in chat and ask: "Using Template Injection Sanitizer, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"template-injection-sanitizer": {
"url": "https://edge.vinkius.com/vk_preview_vMDH5jCrzNMNooAhjoj0JKMiAHZSQdLFg6lwOcCA/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 Template Injection Sanitizer
Ask Copilot: "Using Template Injection Sanitizer, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"template-injection-sanitizer": {
"url": "https://edge.vinkius.com/vk_preview_vMDH5jCrzNMNooAhjoj0JKMiAHZSQdLFg6lwOcCA/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 Template Injection Sanitizer
Open Cascade and ask: "Using Template Injection Sanitizer, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"template-injection-sanitizer": {
"url": "https://edge.vinkius.com/vk_preview_vMDH5jCrzNMNooAhjoj0JKMiAHZSQdLFg6lwOcCA/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 Template Injection Sanitizer
Ask Cline: "Using Template Injection Sanitizer, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add template-injection-sanitizer --transport http "https://edge.vinkius.com/vk_preview_vMDH5jCrzNMNooAhjoj0JKMiAHZSQdLFg6lwOcCA/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 Template Injection Sanitizer
Ask Claude: "Using Template Injection Sanitizer, show me...". 3 tools are ready
Where the request belongs
Work Template Injection Sanitizer can move forward.
This is for developers and security engineers building LLM-powered apps that take direct user input into templated prompts.
AI Engineer
Securing prompt templates in LangChain or CrewAI workflows against injection.
Security Researcher
Testing the robustness of agentic systems against template-based attacks.
Backend Developer
Adding a sanitization layer to user-facing chat interfaces.
Build the capability set
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Store, share, and collaborate on files securely with enterprise-grade cloud content management and governance controls.
Bring your own AI
Change the model, client or framework. Keep Template Injection Sanitizer 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 Template Injection Sanitizer.
The practical details behind the request, access and result.
How does the Template Injection Sanitizer protect my AI agents?
It identifies and removes malicious template syntax like Jinja2 or Python f-strings from user inputs before they can be executed by your prompt engine.
Can I use Template Injection Sanitizer to clean large datasets?
Yes, you can use the batch processing capability to clean entire collections of strings at once, making it efficient for large-scale data prep.
Does Template Injection Sanitizer work with LangChain?
Yes, it is specifically designed to catch the types of injection attacks that target frameworks like LangChain and CrewAI.
What happens if a user's legitimate text looks like a template?
The capability identifies the pattern and provides a cleaned version, ensuring the actual template logic remains uncompromised while preserving the user's intent.
How do I know if an input is a serious attack or just a mistake?
You can use the risk profiling capability to evaluate the severity of an attempt based on how many and what kind of malicious patterns are present.
What kind of injection attacks does this capability prevent?
It prevents template-based prompt injection where attackers use Jinja2 or Python f-string syntax to manipulate LLM prompts or access system variables.
How do I check a single user input?
You can use the scan_input_security capability to analyze a single string and receive a sanitized version along with a list of detected patterns.
Can I process multiple inputs at once?
Yes, the batch_sanitize_inputs capability is designed to process a collection of strings efficiently in a single operation.
One connection away
Give your agent a direct line to Template Injection Sanitizer.
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