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

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

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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.

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The AT&T IoT MCP Server for LlamaIndex is a standout in the Industry Titans category, giving your AI agent 10 tools to work with, ready to go from day one.

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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())

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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.

LlamaIndex was built to ground AI in data. When you connect AT&T IoT through Vinkius, 10 tools combine with indexed documents, vector stores, and SQL databases in a single query turn. The agent does not choose between historical knowledge and live operations. It uses both. Ask a question that requires last quarter's report and today's API response, and LlamaIndex delivers a single, comprehensive, grounded answer. This is the architecture for hybrid intelligence: indexed depth meets operational breadth.

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 LlamaIndex 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 LlamaIndex through Vinkius.

View all 10 tools

Connect AT&T IoT to LlamaIndex via MCP

Follow these steps to connect AT&T IoT to LlamaIndex. 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 dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

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.

AT&T IoT tools through Vinkius combine with indexed documents, vector stores, and SQL databases in a single query turn. Live operational data meets historical knowledge in one answer

Query pipeline framework chains AT&T IoT tool calls from Vinkius with transformations, filters, and re-rankers. Each step is typed, testable, and composable

Sub-question decomposition breaks complex queries into targeted AT&T IoT tool calls through Vinkius, executes them in parallel, and synthesizes a unified answer from all results

Data-first architecture grounds every response in actual AT&T IoT data from Vinkius. The AI does not hallucinate what it can verify through a live tool call

AT&T IoT + LlamaIndex Use Cases

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

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

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

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

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

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.

"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 LlamaIndex

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

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.

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.

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.

Does LlamaIndex support async MCP calls?

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