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How to Use the IPinfo Alternative MCP in LlamaIndex

Index live IP geolocation and WHOIS data directly into your LlamaIndex vector store.

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Connect IPinfo Alternative MCP to LlamaIndex

Create your Vinkius account to connect IPinfo Alternative 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.

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LlamaIndex MCP Server data indexing

Instead of letting raw API responses vanish, your LlamaIndex agent uses this MCP Server to write the output of `get_lookup_ip` and `get_asn` directly into your vector database. This turns transient network checks into a searchable, permanent knowledge base of network behavior. Future queries about suspicious subnets pull from this local index first. If the agent needs fresh data, it calls `get_ranges` to update the index, ensuring your RAG applications are grounded in real, documented network boundaries.

Semantic search over WHOIS registries

This MCP integration lets your agent search through complex registry details semantically. When you run `get_whois_net` or `get_whois_org`, the raw text is parsed, indexed, and made queryable for your retrieval pipelines. You can ask your agent which IP blocks belong to a specific corporate entity without manual parsing. The agent queries the index, retrieves the contact records fetched by `get_whois_poc`, and summarizes the ownership structure.

Dynamic reverse-IP knowledge generation

Feed live hosting structures into your knowledge graph using reverse lookups. Your agent calls `get_hosted_domains` to pull all domains sharing an infrastructure point, indexing the results to discover hidden connections. For enterprise-grade networks, the agent queries `get_enterprise_ip` to map out hosting providers and mobile carrier blocks. This raw data is formatted into documents that feed directly into your LlamaIndex query engine.

Setup guide

Set up IPinfo Alternative MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all IPinfo Alternative MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
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 IPinfo Alternative tools.",
)
response = await agent.run("List recent IPinfo Alternative data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by IPinfo. 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 IPinfo Alternative MCP in LlamaIndex

Initialize the `BasicMCPClient` with your Vinkius URL, then wrap it in the MCP tool spec. Call `to_tool_list_async()` to convert the tools and pass them directly to your `FunctionAgent`.
Yes, you can write the output of tools like `get_enterprise_ip` or `get_whois_net` straight to a vector index. This lets you run semantic queries against your network history without hitting the API again.
The integration uses exponential backoff to handle rate limits during bulk operations. If your agent calls `batch_enrich_ips` on a large dataset, the client manages the request pacing to avoid failures.
Yes, you can use LlamaIndex's tool filtering options when setting up the spec. This allows you to restrict the agent to lightweight queries like `get_lite_ip` while hiding more expensive enterprise tools.
All IP lookups, ASN records, and WHOIS domain queries run inside a secure V8 isolate sandbox. No query parameters or retrieved network details are preserved on the host system once the session closes.

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