IPGeolocation (IP Intelligence & Time) MCP Server for LlamaIndex 3 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add IPGeolocation (IP Intelligence & Time) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to IPGeolocation (IP Intelligence & Time). "
"You have 3 tools available."
),
)
response = await agent.run(
"What tools are available in IPGeolocation (IP Intelligence & Time)?"
)
print(response)
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.
LlamaIndex agents combine IPGeolocation (IP Intelligence & Time) tool responses with indexed documents for comprehensive, grounded answers. Connect 3 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the IPGeolocation (IP Intelligence & Time) MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 3 tools from IPGeolocation (IP Intelligence & Time)
Why Use LlamaIndex with the IPGeolocation (IP Intelligence & Time) MCP Server
LlamaIndex provides unique advantages when paired with IPGeolocation (IP Intelligence & Time) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine IPGeolocation (IP Intelligence & Time) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain IPGeolocation (IP Intelligence & Time) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query IPGeolocation (IP Intelligence & Time), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what IPGeolocation (IP Intelligence & Time) tools were called, what data was returned, and how it influenced the final answer
IPGeolocation (IP Intelligence & Time) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the IPGeolocation (IP Intelligence & Time) MCP Server delivers measurable value.
Hybrid search: combine IPGeolocation (IP Intelligence & Time) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query IPGeolocation (IP Intelligence & Time) to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying IPGeolocation (IP Intelligence & Time) for fresh data
Analytical workflows: chain IPGeolocation (IP Intelligence & Time) queries with LlamaIndex's data connectors to build multi-source analytical reports
IPGeolocation (IP Intelligence & Time) MCP Tools for LlamaIndex (3)
These 3 tools become available when you connect IPGeolocation (IP Intelligence & Time) to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting IPGeolocation (IP Intelligence & Time) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpIPGeolocation (IP Intelligence & Time) + LlamaIndex FAQ
Common questions about integrating IPGeolocation (IP Intelligence & Time) MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.