How to Use the AdGuard Home MCP in LlamaIndex
Query, index, and update your AdGuard Home network rules using LlamaIndex RAG pipelines.
Works with every AI agent you already use
…and any MCP-compatible client
Connect AdGuard Home MCP to LlamaIndex
Create your Vinkius account to connect AdGuard Home to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Semantic Search Over Network DNS Logs
The `get_query_log` tool converts raw network outputs into searchable knowledge inside LlamaIndex. Your agent pulls data using the tool and indexes the entries into a vector store. You can then ask natural language questions about which local IPs made suspicious requests. Instead of digging through raw text, you query your indexed database. The system connects log trends to real-world context, helping you spot anomalies without manual filtering.
Grounded Network Configuration with LlamaIndex MCP Server
Using `get_dns_info` helps you avoid hallucinations when modifying DNS records. The agent reads your current network state via the tool and `list_rewrites` before suggesting any changes. It uses this live context to verify that your proposed configurations do not conflict with active settings. When you need to add a rule, the agent runs `add_rewrite` only after verifying the host isn't already mapped. This prevents routing loops and keeps your configuration clean.
Knowledge-Backed Client Management
The `list_clients` tool lets you manage your network inventory by indexing client behavior. The agent calls the tool and `search_clients` to build an active profile of every device on your LAN. If a device behaves oddly, the agent checks its profile against past logs. It can then use `add_static_lease` to isolate the device or `set_user_rules` to restrict its access.
Set up AdGuard Home MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all AdGuard Home MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to AdGuard Home tools.",
)
response = await agent.run("List recent AdGuard Home data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AdGuard Home. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about AdGuard Home MCP in LlamaIndex
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