IPGeolocation (IP Intelligence & Time) MCP Server for LangChain 3 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect IPGeolocation (IP Intelligence & Time) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"ipgeolocation-ip-intelligence-time": {
"transport": "streamable_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,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using IPGeolocation (IP Intelligence & Time), show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About IPGeolocation (IP Intelligence & Time) MCP Server
Connect your IPGeolocation.io account to any AI agent and take full control of global IP intelligence and time-based analytics through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with IPGeolocation (IP Intelligence & Time) through native MCP adapters. Connect 3 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- IP Intelligence — Resolve IPv4 or IPv6 addresses to precise geographic locations, including city, country, and GPS coordinates directly from your agent
- Network Audit — Extract detailed ISP information, organization names, and connection types to identify the infrastructure behind any IP request
- Timezone Analytics — Retrieve precise local time, UTC offsets, and Daylight Saving Time (DST) status for any global location or coordinate set
- Astronomy Data — Access planetary metrics including sunrise, sunset, and moon phases for specific Earth locations to power context-aware applications
- Financial Localization — Get local currency details, including names and symbols, associated with an IP's detected jurisdiction for localized pricing audits
- Geo-Spatial Tools — Perform location and astronomy lookups using direct latitude and longitude coordinates when an IP address is not available
The IPGeolocation (IP Intelligence & Time) MCP Server exposes 3 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect IPGeolocation (IP Intelligence & Time) to LangChain via MCP
Follow these steps to integrate the IPGeolocation (IP Intelligence & Time) MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 3 tools from IPGeolocation (IP Intelligence & Time) via MCP
Why Use LangChain with the IPGeolocation (IP Intelligence & Time) MCP Server
LangChain provides unique advantages when paired with IPGeolocation (IP Intelligence & Time) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine IPGeolocation (IP Intelligence & Time) MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across IPGeolocation (IP Intelligence & Time) queries for multi-turn workflows
IPGeolocation (IP Intelligence & Time) + LangChain Use Cases
Practical scenarios where LangChain combined with the IPGeolocation (IP Intelligence & Time) MCP Server delivers measurable value.
RAG with live data: combine IPGeolocation (IP Intelligence & Time) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query IPGeolocation (IP Intelligence & Time), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain IPGeolocation (IP Intelligence & Time) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every IPGeolocation (IP Intelligence & Time) tool call, measure latency, and optimize your agent's performance
IPGeolocation (IP Intelligence & Time) MCP Tools for LangChain (3)
These 3 tools become available when you connect IPGeolocation (IP Intelligence & Time) to LangChain via MCP:
get_astronomy
Retrieve astronomy data like sunrise and moon phases
get_location
Retrieve comprehensive geolocation data for an IP address
get_timezone
Get precise local time and timezone information
Example Prompts for IPGeolocation (IP Intelligence & Time) in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with IPGeolocation (IP Intelligence & Time) immediately.
"Resolve the location for IP address '8.8.8.8'"
"What is the current local time and UTC offset in Tokyo?"
"Show me the sunrise and sunset times for Lisbon today"
Troubleshooting IPGeolocation (IP Intelligence & Time) MCP Server with LangChain
Common issues when connecting IPGeolocation (IP Intelligence & Time) to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersIPGeolocation (IP Intelligence & Time) + LangChain FAQ
Common questions about integrating IPGeolocation (IP Intelligence & Time) MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect IPGeolocation (IP Intelligence & Time) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect IPGeolocation (IP Intelligence & Time) to LangChain
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.