How to Use the IPGeolocation.io MCP in CrewAI

Deploy a specialized crew of agents with IPGeolocation.io data access.

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Connect IPGeolocation.io MCP to CrewAI

Create your Vinkius account to connect IPGeolocation.io 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.io with CrewAI

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Specialized agent research with CrewAI

Assign an agent to research IP origins using `get_ipgeo`. It allows your crew to build context about a user's location before other agents start their tasks. You pass the URL directly into the agent's MCP configuration. The agent now has the ability to fetch location data on command.

Astronomy and time data for CrewAI agents

Give your agents access to astronomical data and local time information for specific regions. It helps in scheduling tasks across different time zones. Your agents use `get_astronomy` to check daylight hours or sun position. It is useful for operations that depend on local environmental conditions.

Bulk User-Agent analysis in CrewAI

Analyze large lists of browser strings to identify device types and software versions. The crew processes these in batches for faster reporting. Use `bulk_user_agent` to offload parsing to the MCP server. Your agents spend less time cleaning data and more time acting on the results.

Setup guide

Set up IPGeolocation.io 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.io tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent IPGeolocation.io 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.io Analyst",
        goal="Access and analyze IPGeolocation.io data via MCP.",
        backstory="Expert analyst with direct IPGeolocation.io access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent IPGeolocation.io 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.io. 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.io MCP in CrewAI

You pass the server URL in the mcps list within your Agent definition. The toolset becomes available to the crew immediately.

Yes, CrewAI uses shared memory. Once one agent fetches the data, the rest of the crew can access it for their own tasks.

The server tools are available to any agent in your hierarchy. You can restrict access using tool_filter if needed.

You can set up a monitor agent to log every tool call. It keeps track of how many lookups your crew performs daily.

The server uses a dedicated token for each user. We ensure that only the IP addresses required for your specific analysis are ever processed.

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