How do I find my IPinfo Access Token?

Log in to your [**IPinfo dashboard**](https://ipinfo.io/account), and you will find your Access Token on the overview page. Copy and paste it below.

Does the agent detect VPNs and Proxies?

Yes. The `get_privacy_details` tool allows your agent to identify if an IP address is masked by a VPN, proxy, or Tor network instantly.

Is ASN information provided for all IPs?

Yes. IPinfo provides comprehensive ASN metadata for any IP address, helping you audit the network provider and routing hierarchy.

IPinfo MCP Server for CrewAI 6 tools — connect in under 2 minutes

Name: IPinfo
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 6 Tools Framework

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

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="IPinfo Specialist",
    goal="Help users interact with IPinfo effectively",
    backstory=(
        "You are an expert at leveraging IPinfo 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 IPinfo "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 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 IPinfo MCP Server

Empower your AI agent to orchestrate your entire IP intelligence and network auditing workflow with IPinfo, the world's most trusted source for IP data. By connecting IPinfo to your agent, you transform complex network lookups into a natural conversation. Your agent can instantly geolocate IP addresses, audit ASN details, and retrieve privacy metadata without you ever touching a terminal. Whether you are conducting security research or monitoring user traffic, your agent acts as a real-time network analyst, ensuring your intelligence is always grounded in precise, high-fidelity data.

When paired with CrewAI, IPinfo becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call IPinfo 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 Auditing — Query geographic details for any IP address and retrieve city, region, and ISP information instantly.
ASN Oversight — Identify Autonomous System Numbers (ASN) to maintain a clear view of network ownership and routing.
Privacy Intelligence — Check if an IP address is associated with a VPN, proxy, or Tor node to audit traffic authenticity.
Network Discovery — Retrieve metadata for entire IP ranges or CIDR blocks to understand regional allocations.
Operational Monitoring — Query your own server IP details to maintain strict control over your connection environment.

The IPinfo MCP Server exposes 6 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 IPinfo to CrewAI via MCP

Follow these steps to integrate the IPinfo 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 6 tools from IPinfo

Why Use CrewAI with the IPinfo MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with IPinfo 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

IPinfo + CrewAI Use Cases

Practical scenarios where CrewAI combined with the IPinfo MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries IPinfo 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 IPinfo, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain IPinfo 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 IPinfo against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

IPinfo MCP Tools for CrewAI (6)

These 6 tools become available when you connect IPinfo to CrewAI via MCP:

get_asn_details

Get details for an Autonomous System Number (ASN)

get_ip_details

Get full geographic and network details for an IP address

get_ip_historical

Get historical data for an IP (Requires appropriate plan)

get_ip_range

Get details for an IP range or CIDR

get_own_ip_details

Get details for the current server IP

get_privacy_details

Check if an IP is using a VPN, proxy, or Tor

Example Prompts for IPinfo in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with IPinfo immediately.

"Geolocate the IP address 1.1.1.1 using IPinfo."

"Check if IP 8.8.8.8 is using a VPN."

"Show ASN details for AS15169."

Troubleshooting IPinfo MCP Server with CrewAI

Common issues when connecting IPinfo 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.

IPinfo + CrewAI FAQ

Common questions about integrating IPinfo 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.