Can I resolve a location using GPS coordinates instead of an IP address?

Yes. Tools like `get_timezone` and `get_astronomy` accept optional latitude and longitude parameters. This allows your agent to retrieve environmental and temporal data for any point on Earth, even if you don't have a target IP.

How do I check if a specific location is currently observed in Daylight Saving Time (DST)?

Use the `get_timezone` tool by providing a timezone name (e.g. 'America/New_York'). Your agent will return the full timezone payload, including the `is_dst` boolean and current UTC offset.

Can my agent find out the sunrise and sunset times for a given IP?

Absolutely. Use the `get_astronomy` tool and provide the target IP. Your agent will calculate the precise location and return astronomical data including sunrise, sunset, solar noon, and day length.

IPGeolocation (IP Intelligence & Time) MCP Server for CrewAI 3 tools — connect in under 2 minutes

Name: IPGeolocation (IP Intelligence & Time)
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 3 Tools Framework

Connect your CrewAI agents to IPGeolocation (IP Intelligence & Time) through Vinkius, pass the Edge URL in the `mcps` parameter and every IPGeolocation (IP Intelligence & Time) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="IPGeolocation (IP Intelligence & Time) Specialist",
    goal="Help users interact with IPGeolocation (IP Intelligence & Time) effectively",
    backstory=(
        "You are an expert at leveraging IPGeolocation (IP Intelligence & Time) tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in IPGeolocation (IP Intelligence & Time) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 3 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, IPGeolocation (IP Intelligence & Time) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call IPGeolocation (IP Intelligence & Time) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the IPGeolocation (IP Intelligence & Time) MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 3 tools from IPGeolocation (IP Intelligence & Time)

Why Use CrewAI with the IPGeolocation (IP Intelligence & Time) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with IPGeolocation (IP Intelligence & Time) through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

IPGeolocation (IP Intelligence & Time) + CrewAI Use Cases

Practical scenarios where CrewAI combined with the IPGeolocation (IP Intelligence & Time) MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries IPGeolocation (IP Intelligence & Time) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries IPGeolocation (IP Intelligence & Time), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain IPGeolocation (IP Intelligence & Time) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries IPGeolocation (IP Intelligence & Time) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

IPGeolocation (IP Intelligence & Time) MCP Tools for CrewAI (3)

These 3 tools become available when you connect IPGeolocation (IP Intelligence & Time) to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting IPGeolocation (IP Intelligence & Time) to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

IPGeolocation (IP Intelligence & Time) + CrewAI FAQ

Common questions about integrating IPGeolocation (IP Intelligence & Time) MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.