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Connect Template Injection Sanitizer to ChatGPT and Claude

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. Block malicious template syntax before it hits your prompt.

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

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.

A futuristic MCP client docking bay
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 Template Injection Sanitizer.

  1. 01

    Batch sanitize inputs

    Processes a collection of strings to clean user-generated content in bulk.

  2. 02

    Get injection risk profile

    Evaluates how severe an injection attempt is by analyzing the density and type of patterns found.

  3. 03

    Scan input security

    Analyzes a single input string to find injection attempts and returns a cleaned version.

Real work

What teams actually run

01

LangChain Application Security

Protect your LangChain prompt templates from users attempting to inject Jinja2 code.

02

CrewAI Agent Protection

Ensure CrewAI agents aren't manipulated by malicious f-string patterns in user tasks.

03

User Comment Moderation

Clean large batches of user comments before they are fed into a summarization agent.

04

API Input Validation

Use the single string scan to validate incoming API requests for injection risks.

One connector, every AI

Template Injection Sanitizer 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

You don't need a client to put Template Injection Sanitizer 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

809ms average. Fast in production.

Template Injection Sanitizer is checked daily against the live service.

Daily averagePeak 1005ms
Oct 3Today
Fastest day
691ms
Slowest day
1005ms
14-day trend
Stable-3%

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 Template Injection Sanitizer, so you can see the experience inside your AI.

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

Template Injection Sanitizer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_vMDH5jCrzNMNooAhjoj0JKMiAHZSQdLFg6lwOcCA/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Template Injection Sanitizer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "template-injection-sanitizer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_vMDH5jCrzNMNooAhjoj0JKMiAHZSQdLFg6lwOcCA/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 Template Injection Sanitizer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Template Injection Sanitizer owners hand off.

This is for developers building LLM-powered applications that handle untrusted user input.

  • 01

    AI Engineers

    They hand off raw user strings to the MCP to ensure prompt integrity.

  • 02

    Security Researchers

    They use the capability to test the robustness of template-based prompt structures.

  • 03

    Backend Developers

    They integrate this into data pipelines to clean user content before it reaches the AI.

FAQ

Questions Template Injection Sanitizer owners ask.

  • 01

    What kind of injection does this MCP prevent?

    It targets template injection attacks, specifically those using Jinja2 and Python f-string syntax.

  • 02

    Can I use this with LangChain?

    Yes, it is designed to identify and remove malicious syntax used in frameworks like LangChain and CrewAI.

  • 03

    How does it handle large amounts of data?

    You can use the batch_sanitize_inputs capability to process collections of strings efficiently.

  • 04

    Does it just detect attacks or also fix them?

    It does both. It can identify risks and provide a cleaned version of the input.

  • 05

    What is a risk profile?

    The get_injection_risk_profile capability evaluates how severe an attempt is based on the types of patterns it finds.

  • 06

    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.

  • 07

    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.

  • 08

    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.

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