How to Use the IPGeolocation (IP Intelligence & Time) MCP in LangChain

Chain IP intelligence directly into your LangChain agents to route traffic and verify local times on the fly.

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Connect IPGeolocation (IP Intelligence & Time) MCP to LangChain

Create your Vinkius account to connect IPGeolocation (IP Intelligence & Time) to LangChain 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 (IP Intelligence & Time) with LangChain

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Get exact coordinate details instantly

`get_location` resolves raw IP addresses into coordinate points, country codes, and ISP details inside your LangChain chains. Your agent executes this tool first to decide where a user is coming from before triggering down-stream tasks. You feed the raw JSON output of this MCP tool directly into the next LLM prompt. This lets your agent run conditional logic based on physical borders without manual coding.

Align schedules with local timezones

`get_timezone` provides the offset and current local time for any IP address your LangChain agent encounters. It solves the common headache of scheduling operations across different geographic regions. By passing this timezone data into a LangSmith-monitored chain, you trace exactly how the agent adjusts its response timing. No more guessing why a scheduled email went out at 3 AM local time.

Retrieve local solar and lunar phases

`get_astronomy` fetches sunrise, sunset, and current moon phases based on the user's resolved location coordinates. Your LangChain agent can use this data to dynamically adjust UI themes or schedule outdoor-dependent workflows. The tool output acts as a contextual link in your multi-step reasoning pipeline. LangChain handles the state transitions while this MCP server delivers the raw astronomical facts.

Setup guide

Set up IPGeolocation (IP Intelligence & Time) MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes IPGeolocation (IP Intelligence & Time) tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "ipgeolocation-ip-intelligence-time-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent IPGeolocation (IP Intelligence & Time) transactions"
    })
    print(result["messages"][-1].content)

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Common questions about IPGeolocation (IP Intelligence & Time) MCP in LangChain

You install the LangChain MCP adapter and instantiate the MultiServerMCPClient with the Vinkius transport URL. Once connected, call the get_tools method to pass the geographic tools directly into your agent constructor.

Yes, every call to the geolocation tools shows up in your LangSmith dashboard automatically. You can inspect the exact IP address passed to the server and the resulting JSON payload in real time.

It does. You can combine this server with database or weather servers in a single MultiServerMCPClient instance. The LangChain agent then chooses when to call the location lookup versus other tools.

The server returns a clear error payload when a bad IP is passed. Your agent parses this failure and can ask the user for a valid address or fall back to default coordinates.

Vinkius runs the MCP Server in an isolated V8 sandbox that destroys itself after execution. Your queried IP addresses are processed in memory and never stored on persistent disks, keeping your users' network footprints private.

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