Compatible with every major AI agent and IDE
Add client on AdGuard Home
Add a new client
Add filter url on AdGuard Home
Add a new filter URL
Add rewrite on AdGuard Home
Add a DNS rewrite
Add static lease on AdGuard Home
Add a DHCP static lease
Check host on AdGuard Home
Check if a host is filtered
Configure tls on AdGuard Home
Configure TLS settings
Get dhcp status on AdGuard Home
Get DHCP server status
Get dns info on AdGuard Home
Get DNS configuration info
Get filtering status on AdGuard Home
Get filtering status and lists
Get query log on AdGuard Home
Get DNS query log
Get query log config on AdGuard Home
Get query log configuration
Get stats on AdGuard Home
Get DNS query statistics
Get status on AdGuard Home
Get AdGuard Home server status
Get tls status on AdGuard Home
Get TLS configuration status
List blocked services on AdGuard Home
List all available blocked services
List clients on AdGuard Home
List all clients
List rewrites on AdGuard Home
List DNS rewrites
Search clients on AdGuard Home
Search for clients
Set dns config on AdGuard Home
Update DNS settings
Set protection on AdGuard Home
globally. Enable or disable protection globally
Set user rules on AdGuard Home
Set custom user filtering rules
Update blocked services on AdGuard Home
Update blocked services schedule
Update query log config on AdGuard Home
Update query log configuration
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
How do I add a new blocklist URL using the AI?
Simply use the add_filter_url action. You'll need to provide a name for the filter, the URL of the list, and specify if it's a whitelist or blocklist.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Supported Use Cases for AdGuard Home
We map standard API endpoints to agent-compatible instructions. Connect AdGuard Home to execute these core functional operations.
LLM Orchestration for dns filtering
The AdGuard Home server exposes documented endpoints for dns filtering. This allows ChatGPT and Cursor to interact with developer tools APIs seamlessly.
Execute ad blocking Commands with AI
The AdGuard Home toolkit provides secure access to ad blocking functions. It enables conversational agents to manage developer tools settings deterministically.
AdGuard Home. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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