How to Use the IP Subnet Calculator MCP in LlamaIndex
Index exact network boundaries and subnets inside LlamaIndex RAG applications.
Works with every AI agent you already use
…and any MCP-compatible client
Connect IP Subnet Calculator MCP to LlamaIndex
Create your Vinkius account to connect IP Subnet Calculator 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.
Ground your network RAG in flawless binary math
The `calculate_ip_subnet` tool calculates network boundaries, broadcast addresses, and usable host ranges with absolute precision. LlamaIndex uses this raw data to answer queries about your network architecture without relying on LLM guesswork. By feeding the output of this tool into your vector indexes, you ensure your network documentation is always accurate. Your agent queries live calculation data instead of stale, static spreadsheets.
Index live IP calculations for semantic search
The `calculate_ip_subnet` tool generates precise IP allocations and indexes them directly into your vector store. This lets you build RAG systems where users can search for available IP space or verify existing subnet allocations using natural language. Output arrives as structured JSON, making it clean to parse and index. Your RAG pipeline can retrieve these calculated boundaries to answer complex engineering questions with zero hallucinations.
Build queryable network knowledge bases using this MCP Server
The `calculate_ip_subnet` tool combines live subnet math with your static network design documents. Your agent can pull CIDR blocks from a PDF, run them through the tool, and store the calculated ranges in your index. This setup creates a unified, queryable knowledge base that bridges the gap between written documentation and actual network boundaries. It gives your operations team a source of truth for IP planning.
Set up IP Subnet Calculator 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 Subnet Calculator 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 Subnet Calculator tools.",
)
response = await agent.run("List recent IP Subnet Calculator data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by IP Subnet Calculator. 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 Subnet Calculator MCP in LlamaIndex
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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