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AT&T IoT MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add AT&T IoT as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to AT&T IoT. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in AT&T IoT?"
    )
    print(response)

asyncio.run(main())
AT&T IoT
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 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.

LlamaIndex agents combine AT&T IoT tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 the Vinkius. Connect it to LlamaIndex 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 AT&T IoT to LlamaIndex via MCP

Follow these steps to integrate the AT&T IoT MCP Server with LlamaIndex.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from AT&T IoT

Why Use LlamaIndex with the AT&T IoT MCP Server

LlamaIndex provides unique advantages when paired with AT&T IoT through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine AT&T IoT tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain AT&T IoT tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query AT&T IoT, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what AT&T IoT tools were called, what data was returned, and how it influenced the final answer

AT&T IoT + LlamaIndex Use Cases

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

01

Hybrid search: combine AT&T IoT real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query AT&T IoT to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying AT&T IoT for fresh data

04

Analytical workflows: chain AT&T IoT queries with LlamaIndex's data connectors to build multi-source analytical reports

AT&T IoT MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect AT&T IoT to LlamaIndex via MCP:

01

activate_device

Returns activation timestamp and assigned IP. Use to onboard new devices or restore service after maintenance. Activate a suspended or deactivated IoT SIM

02

diagnose_connectivity

Returns diagnostic results and recommended actions. Use for rapid troubleshooting of offline devices. Run automated diagnostics to troubleshoot IoT device connectivity

03

get_data_usage

Use to monitor plan limits, identify heavy users, or forecast billing. Retrieve current and historical data usage for an IoT SIM

04

get_device_status

Use to troubleshoot offline devices or verify data allowance. Get real-time connectivity and data status of an IoT SIM

05

get_pool_usage

Use to prevent pool exhaustion or reallocate unused data. Get detailed usage metrics for a specific data pool

06

list_data_pools

Use to manage enterprise data sharing across fleets. List shared data pools configured for IoT devices

07

list_devices

Use to audit fleet inventory, identify inactive SIMs, or verify provisioning status. List all IoT SIMs/devices managed in AT&T Control Center

08

resume_device

Use to restore service after troubleshooting or policy clearance. Resume network access for a suspended IoT SIM

09

suspend_device

Use for lost/stolen devices, cost containment, or decommissioning. Suspend an IoT SIM to block network access

10

update_device_settings

Requires ICCID and JSON settings object. Use to optimize performance or migrate devices between plans. Update configuration settings for an IoT device

Example Prompts for AT&T IoT in LlamaIndex

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

01

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

02

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

03

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

Troubleshooting AT&T IoT MCP Server with LlamaIndex

Common issues when connecting AT&T IoT to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

AT&T IoT + LlamaIndex FAQ

Common questions about integrating AT&T IoT MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query AT&T IoT tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect AT&T IoT to LlamaIndex

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.