How to Use the IPGeolocation.io MCP in LlamaIndex

Q: Can LlamaIndex cache IPGeolocation.io MCP tools results?

Yes. LlamaIndex can store the outputs of tools like getipgeo or gettimezone in a local vector index, allowing you to run semantic queries over cached network data without calling the API again.

Q: Does LlamaIndex support bulk security lookups via IPGeolocation.io?

It does. Your agent can call bulksecurity to analyze multiple IP addresses, then format and index the resulting threat scores directly into your document store for security audits.

Q: How does the MCP Server handle timezone conversions?

Your agent uses converttimezone or gettimezone to resolve local times. It can then index these timestamps alongside document updates to maintain an accurate, localized audit trail.

Index live IPGeolocation.io threat and location data directly into your LlamaIndex vector stores for context-rich retrieval.

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Connect IPGeolocation.io MCP to LlamaIndex

Create your Vinkius account to connect IPGeolocation.io 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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Setup IPGeolocation.io with LlamaIndex

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Index IPGeolocation.io data inside LlamaIndex

Bring live network context into your RAG pipelines by indexing outputs from `get_ipgeo`. Your LlamaIndex agent queries the API and converts the resulting country, city, and ISP data into searchable vector nodes. This prevents your agent from hallucinating user locations or network paths. By combining this MCP Server with vector storage, past IP lookups become part of a searchable knowledge base that your query engine can reference instantly.

Search historical security and ASN profiles

When analyzing threats, your LlamaIndex engine can run `get_security` and `get_asn` to fetch threat scores and autonomous system numbers. The framework indexes these details, allowing you to run semantic searches over past incident logs. Instead of repeatedly hitting the live API for the same IP, your engine checks the local vector index first. If the data is missing, the agent triggers the tool to retrieve the fresh threat payload.

Extract and index user agent structures

Use `get_user_agent` to break down incoming browser strings and store the structured device metadata in your document index. LlamaIndex maps these parsed profiles to user sessions, making it easy to query behavioral patterns. This adds a layer of hardware and software context to your search indexes. Your agent can run complex queries to find trends, such as security anomalies originating from specific browser versions.

Setup guide

Set up IPGeolocation.io MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
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 provides BasicMCPClient and McpToolSpec.
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

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all IPGeolocation.io MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
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 IPGeolocation.io tools.",
)
response = await agent.run("List recent IPGeolocation.io data")

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

Install llama-index-tools-mcp and instantiate BasicMCPClient with your Vinkius URL. Convert the client to tools using McpToolSpec and pass them directly to your LlamaIndex FunctionAgent.

Yes. LlamaIndex can store the outputs of tools like get_ipgeo or get_timezone in a local vector index, allowing you to run semantic queries over cached network data without calling the API again.

It does. Your agent can call bulk_security to analyze multiple IP addresses, then format and index the resulting threat scores directly into your document store for security audits.

Your agent uses convert_timezone or get_timezone to resolve local times. It can then index these timestamps alongside document updates to maintain an accurate, localized audit trail.

Vinkius executes the server in an ephemeral, zero-trust V8 isolate. Your queried IP addresses and threat scores are processed in memory and never persisted, ensuring strict data privacy for your infrastructure logs.

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