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Vinkius

Hologram.io MCP Server for CrewAI 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools Framework

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

Vinkius supports streamable HTTP and SSE.

python
from crewai import Agent, Task, Crew

agent = Agent(
    role="Hologram.io Specialist",
    goal="Help users interact with Hologram.io effectively",
    backstory=(
        "You are an expert at leveraging Hologram.io 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 Hologram.io "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 11 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
Hologram.io
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Hologram.io MCP Server

Connect your Hologram.io IoT platform to any AI agent and take full control of your global cellular connectivity and device fleet through natural conversation.

When paired with CrewAI, Hologram.io becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Hologram.io 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

  • Device Oversight — List all IoT devices in your account, retrieve detailed metadata, and monitor their active status.
  • SIM Card Management — Access lists of SIM cards (cellular links) and their associated data plans to ensure seamless connectivity.
  • Data Usage Monitoring — Retrieve recent data sessions, daily usage statistics, and current billing cycle summaries.
  • Connectivity Control — Quickly pause or unpause data services for specific SIM cards directly from the chat interface.
  • Location Insights — Access approximate GPS coordinates for your entire fleet based on cell tower triangulation.
  • SMS Tracking — Retrieve the history of device-originated SMS messages for troubleshooting and logging.

The Hologram.io MCP Server exposes 11 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 Hologram.io to CrewAI via MCP

Follow these steps to integrate the Hologram.io MCP Server with CrewAI.

01

Install CrewAI

Run pip install crewai

02

Replace the token

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

03

Customize the agent

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

04

Run the crew

Run python crew.py. CrewAI auto-discovers 11 tools from Hologram.io

Why Use CrewAI with the Hologram.io MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Hologram.io through the Model Context Protocol.

01

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

02

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

03

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

04

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

Hologram.io + CrewAI Use Cases

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

01

Automated multi-step research: a reconnaissance agent queries Hologram.io for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

02

Scheduled intelligence reports: set up a crew that periodically queries Hologram.io, analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain Hologram.io tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

04

Compliance and audit automation: a compliance agent queries Hologram.io against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Hologram.io MCP Tools for CrewAI (11)

These 11 tools become available when you connect Hologram.io to CrewAI via MCP:

01

get_billing_cycle_usage

Check data usage for the current billing cycle

02

get_daily_usage_stats

Retrieve aggregated daily data usage statistics

03

get_device_details

Get detailed information for a specific IoT device

04

get_device_locations

Retrieve approximate GPS coordinates for all devices based on cell tower data

05

get_recent_data_sessions

Retrieve the most recent data sessions for your fleet

06

list_available_data_plans

List all data plans available for activation in your organization

07

list_iot_devices

Use this to monitor fleet status and find specific device IDs. List all IoT devices in your Hologram account

08

list_sim_cards

List all SIM cards (cellular links) and their associated plans

09

list_sms_messages

Retrieve the history of device-originated SMS messages

10

pause_sim_data

Requires the cellular link ID. Temporarily suspend data services for a specific SIM card

11

unpause_sim_data

Resume data services for a suspended SIM card

Example Prompts for Hologram.io in CrewAI

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

01

"List all IoT devices and show which ones are currently active."

02

"Show me the total data usage for the current billing cycle."

03

"Find the approximate location of all devices in my account."

Troubleshooting Hologram.io MCP Server with CrewAI

Common issues when connecting Hologram.io to CrewAI through the Vinkius, and how to resolve them.

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

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.

Hologram.io + CrewAI FAQ

Common questions about integrating Hologram.io MCP Server with CrewAI.

01

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.
02

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.
03

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.
04

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.
05

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.

Connect Hologram.io to CrewAI

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.