How to Use AT&T IoT MCP Server with CrewAI using Vinkius

Give CrewAI instant access to 10 tools to Activate Device, Diagnose Connectivity, Get Data Usage, and more using Vinkius.

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Connect your CrewAI agents to AT&T IoT through Vinkius, pass the Edge URL in the `mcps` parameter and every AT&T IoT 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="AT&T IoT Specialist",
    goal="Help users interact with AT&T IoT effectively",
    backstory=(
        "You are an expert at leveraging AT&T IoT 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 AT&T IoT "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

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About AT&T IoT MCP Server

Connect your AT&T IoT account to any AI agent and take full command of your IoT SIM fleet through natural conversation.

CrewAI does not assign one agent to do everything. It builds teams. When you connect AT&T IoT through Vinkius, each agent in the crew can call 10 tools with role-based precision: a research agent queries raw data, an analyst agent cross-references findings, a reporting agent compiles actionable output. They share memory. They delegate tasks. They negotiate priorities. The result is not a single-threaded chatbot interaction. It is a coordinated intelligence operation executed at machine speed.

What you can do

Device Inventory -- List all IoT SIMs with ICCIDs, statuses (active, suspended, deactivated), data plan names, and last activity dates
Real-Time Status -- Get live connectivity state, IP address, signal strength, data used/remaining, and suspension reasons for any SIM
Activate & Suspend -- Instantly activate suspended devices or suspend compromised SIMs to block network access and contain costs
Resume Devices -- Restore network access to suspended SIMs after troubleshooting or policy clearance without reprovisioning
Data Usage Tracking -- Retrieve current and historical usage per SIM with daily breakdowns, overage alerts, and cycle forecasts
Data Pool Management -- List shared data pools, monitor aggregate consumption, identify top-consuming devices, and prevent pool exhaustion
Device Configuration -- Update rate limits, APN settings, and pool assignments to optimize performance or migrate devices between plans
Automated Diagnostics -- Run connectivity troubleshooting checks including network registration, APN config, data session status, and known outages

The AT&T IoT MCP Server exposes 10 tools through Vinkius. Connect it to CrewAI in under two minutes. Fully managed, no infrastructure to provision, no vendor lock-in.

10 tools included

Explore every tool AT&T IoT exposes to CrewAI through Vinkius.

View all 10 tools

Connect AT&T IoT to CrewAI via MCP

Follow these steps to connect AT&T IoT to CrewAI. The setup takes under two minutes and requires no coding or server hosting.

Get your Vinkius Access Token

Go to cloud.vinkius.com to log in or create a free account, and retrieve your personal access token from the dashboard. This token is required to authenticate your connection to the hosted AT&T IoT MCP server.

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 10 tools from AT&T IoT

Why Use CrewAI with the AT&T IoT MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with AT&T IoT through the Model Context Protocol.

Multi-agent crews give each role precise access to AT&T IoT through Vinkius: a research agent queries raw data, an analyst cross-references findings, a reporter compiles actionable output

Native MCP integration: pass the Vinkius Edge URL in the `mcps` parameter. Zero adapter code. Agents discover all 10 tools from AT&T IoT at crew startup

Shared memory between crew members means AT&T IoT data from one agent's query through Vinkius is immediately available to the next agent's analysis. No manual state passing

Sequential and hierarchical crew patterns map to real workflows: gather AT&T IoT data, analyze trends, flag anomalies, generate reports. Each step handled by a specialist agent

AT&T IoT + CrewAI Use Cases

Practical scenarios where CrewAI combined with the AT&T IoT MCP Server delivers measurable value.

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

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

Example Prompts for AT&T IoT in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with AT&T IoT immediately.

"List all my IoT devices and show me which ones are suspended."

"Device ICCID 8901234567890123456 is offline. Run diagnostics and tell me what's wrong."

"Check the data pool usage for 'Enterprise-Fleet-A' and tell me our top 5 consuming devices."

Troubleshooting AT&T IoT MCP Server with CrewAI

Common issues when connecting AT&T IoT to CrewAI through 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.

AT&T IoT + CrewAI FAQ

Common questions about integrating AT&T IoT 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.

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents

Complete visibility into every agent action

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect AT&T IoT using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Explore Analytics