How to Use the IP & CIDR Validator MCP in LlamaIndex
Index validated IP address data and network subnets directly into your LlamaIndex RAG pipelines for grounded security decisions.
Works with every AI agent you already use
…and any MCP-compatible client
Connect IP & CIDR Validator MCP to LlamaIndex
Create your Vinkius account to connect IP & CIDR Validator 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.
Index live network math directly into LlamaIndex vector stores
Ground your security agents in real network data by feeding the outputs of the `validate_ip` tool into your LlamaIndex knowledge base. This keeps your RAG application updated with actual subnet allocations and host ranges. Instead of relying on LLM hallucinations about IP math, your agent queries indexed validation results from the MCP Server. It retrieves verified network boundaries to answer complex infrastructure questions accurately.
Build RAG pipelines with this offline MCP Server
Run this MCP Server alongside your document indexes to combine network logs with policy files. Your LlamaIndex agent can parse IP strings and match them against corporate security policies in a single query. Local binary validation verifies the network structure before running semantic searches. This setup lets your agent determine if an IP belongs to a permitted corporate block.
Query past validation sessions for instant security triage
Store every output of the `validate_ip` tool in a searchable LlamaIndex vector database for fast triage. When a security alert triggers, your agent can search past sessions to see if the flagged IP was already validated. Repetitive math checks disappear. Your agent quickly retrieves historical validation data, speeding up incident triage during active network security events.
Set up IP & CIDR Validator 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 IP & CIDR Validator 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 IP & CIDR Validator tools.",
)
response = await agent.run("List recent IP & CIDR Validator data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ipaddr.js. 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 IP & CIDR Validator MCP in LlamaIndex
Use it with your favorite AI tools
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