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AT&T 5G MCP Server for Pydantic AI 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect AT&T 5G through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to AT&T 5G "
            "(9 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in AT&T 5G?"
    )
    print(result.data)

asyncio.run(main())
AT&T 5G
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 5G MCP Server

Connect your AT&T 5G account to any AI agent and unlock the full power of Open Gateway / CAMARA-compliant network APIs through natural conversation.

Pydantic AI validates every AT&T 5G tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

  • Number Verify -- Silently confirm a user's phone number matches their current device without SMS OTP friction
  • Device Location -- Get approximate geographic positioning via network-based cell tower triangulation (with user consent)
  • SIM Swap Detection -- Detect recent SIM card changes to prevent account takeovers and fraud before they happen
  • Quality on Demand -- Request guaranteed network profiles (low latency, high throughput, reliable transmission) for critical sessions
  • Network Slicing -- Provision, monitor, and decommission dedicated 5G network slices with custom SLA parameters for enterprise use
  • Roaming Status -- Check if a device is roaming on a foreign network and apply correct billing or routing rules
  • Session Auditing -- List active and historical QoD sessions to audit premium service consumption

The AT&T 5G MCP Server exposes 9 tools through the Vinkius. Connect it to Pydantic AI 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 5G to Pydantic AI via MCP

Follow these steps to integrate the AT&T 5G MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

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 9 tools from AT&T 5G with type-safe schemas

Why Use Pydantic AI with the AT&T 5G MCP Server

Pydantic AI provides unique advantages when paired with AT&T 5G through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your AT&T 5G integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your AT&T 5G connection logic from agent behavior for testable, maintainable code

AT&T 5G + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the AT&T 5G MCP Server delivers measurable value.

01

Type-safe data pipelines: query AT&T 5G with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple AT&T 5G tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query AT&T 5G and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock AT&T 5G responses and write comprehensive agent tests

AT&T 5G MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect AT&T 5G to Pydantic AI via MCP:

01

check_roaming_status

Use this to apply correct billing rates, trigger roaming alerts, or optimize routing for international travelers. Check if a device is currently roaming on a foreign network

02

check_sim_swap

Returns days since last swap or a boolean indicating recent activity. Use this to block account takeovers attempts, verify identity before password resets, or trigger step-up authentication. Detect if a SIM card has been swapped recently for fraud prevention

03

create_network_slice

Requires slice name, SLA profile, and target device group. Returns slice ID and provisioning status. Use this for IoT deployments, private enterprise networks, or guaranteed performance applications. Provision a new dedicated 5G network slice for an enterprise use case

04

delete_network_slice

Requires slice ID. Use this to clean up unused slices, reduce costs, or retire temporary deployments. Decommission and delete an existing 5G network slice

05

get_device_location

Requires user consent per CAMARA standards. Returns latitude, longitude, and accuracy radius in meters. Use this for geo-fencing, localized content delivery, or emergency services routing. Do not use for precise GPS tracking. Get approximate geographic location of an AT&T 5G device

06

get_network_slice_info

Includes SLA parameters, allocated resources, and connected devices. Use this to monitor slice health or verify enterprise SLA compliance. Get details of a specific 5G network slice

07

list_network_sessions

Use this to audit network usage, track premium service consumption, or troubleshoot active sessions. List active and historical network QoD sessions

08

request_quality_on_demand

Choose profiles like "low_latency" (gaming/VR), "high_throughput" (video), or "reliable_transmission" (IoT). Returns session ID and active duration. Use this to optimize real-time applications, prioritize critical downloads, or enhance remote worker connectivity. Request guaranteed network quality (low latency/high bandwidth) for a session

09

verify_number

Eliminates SMS OTP friction. Requires the phone number in E.164 format (e.g., +12125551234). Returns verification status and confidence score. Use this for seamless user onboarding, secure login, or fraud prevention. Silently verify a user's phone number without SMS OTP

Example Prompts for AT&T 5G in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with AT&T 5G immediately.

01

"Check if the phone number +12125551234 had a SIM swap in the last 7 days."

02

"Create a low-latency network slice called 'TradingFloor-Prime' for our enterprise deployment."

03

"Verify the phone number +14155559876 for user login without sending an SMS code."

Troubleshooting AT&T 5G MCP Server with Pydantic AI

Common issues when connecting AT&T 5G to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

AT&T 5G + Pydantic AI FAQ

Common questions about integrating AT&T 5G MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your AT&T 5G MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect AT&T 5G to Pydantic AI

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.