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

Q: How do I add IPGeolocation (IP Intelligence & Time) tools to a CrewAI agent?

Pass the Vinkius MCP endpoint URL directly into the mcps list of your Agent definition. The framework automatically parses the tools and assigns them to the agent.

Q: Does CrewAI support sequential execution with IPGeolocation (IP Intelligence & Time)?

Yes, the output of getlocation can be passed sequentially to the next agent in the pipeline. This allows one agent to find the location and another to analyze regional data over the MCP Server connection.

Deploy specialized agent teams that analyze IP location and local time autonomously using CrewAI.

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Connect IPGeolocation (IP Intelligence & Time) MCP to CrewAI

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

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Equip your CrewAI team with IP location analysis

The `get_location` tool allows your research agent to identify where a user or server is physically located. The agent passes this geographic profile to your analyst agent, who evaluates regional compliance requirements. This multi-agent collaboration happens without human intervention. Your crew handles the entire investigation, from raw IP lookup to generating a final compliance report using this MCP Server.

Synchronize multi-agent tasks across regional boundaries

The `get_timezone` tool provides local time context to your coordinator agent. This agent schedules follow-ups or alerts based on the local time of the flagged IP. By knowing the exact local hour, your crew avoids running noisy diagnostic scripts or sending notifications during local weekend hours. The entire team respects regional scheduling constraints.

Automate solar-aware monitoring schedules

The `get_astronomy` tool provides solar and lunar data for any IP's physical location. Your monitoring agent checks this data to determine local daylight hours via our MCP interface. The agent adjusts its monitoring frequency or triggers night-shift protocols when the sun sets at the target location. This allows autonomous systems to adapt their behavior based on local environment cycles.

Setup guide

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

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke IPGeolocation (IP Intelligence & Time) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="IPGeolocation (IP Intelligence & Time) Analyst",
    goal="Access and analyze IPGeolocation (IP Intelligence & Time) data via MCP.",
    backstory="Expert analyst with direct IPGeolocation (IP Intelligence & Time) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent IPGeolocation (IP Intelligence & Time) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="IPGeolocation (IP Intelligence & Time) Analyst",
        goal="Access and analyze IPGeolocation (IP Intelligence & Time) data via MCP.",
        backstory="Expert analyst with direct IPGeolocation (IP Intelligence & Time) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent IPGeolocation (IP Intelligence & Time) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by IPGeolocation. 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 (IP Intelligence & Time) MCP in CrewAI

Pass the Vinkius MCP endpoint URL directly into the `mcps` list of your Agent definition. The framework automatically parses the tools and assigns them to the agent.

Yes, any agent in your crew can access the registered tools. For example, a research agent can call `get_location` while a scheduling agent calls `get_timezone`.

Yes, the output of `get_location` can be passed sequentially to the next agent in the pipeline. This allows one agent to find the location and another to analyze regional data over the MCP Server connection.

Vinkius manages the connection pooling and rate limits on the backend. Your agents can make concurrent calls to the MCP Server without hitting typical API rate-limiting errors.

All IP addresses and astronomy coordinates are handled in an isolated, ephemeral sandbox. No data persists after the crew completes its task run, maintaining strict operational security.

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