AT&T Messaging MCP Server for Pydantic AI 9 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect AT&T Messaging through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Messaging "
"(9 tools)."
),
)
result = await agent.run(
"What tools are available in AT&T Messaging?"
)
print(result.data)
asyncio.run(main())
* 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 Messaging MCP Server
Connect your AT&T Messaging account to any AI agent and take full control of your SMS/MMS communication workflows through natural conversation.
Pydantic AI validates every AT&T Messaging 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
- SMS Messaging -- Send transactional alerts, OTPs, and customer notifications from registered shortcodes with delivery tracking
- MMS Messaging -- Attach images, videos, or audio to enrich marketing campaigns and visual alerts
- Bulk Send -- Broadcast the same message to hundreds of recipients in one request with per-recipient status tracking
- Delivery Status -- Check real-time delivery state (sent, delivered, failed, read) for any message by its ID
- Message History -- Query outbound and inbound message logs for auditing, compliance reporting, or reply tracking
- Inbound Messages -- Retrieve customer replies, opt-outs, and keyword-triggered auto-responses
- Shortcode Management -- Provision new shortcodes with keywords for campaign routing, or decommission retired numbers
- Keyword Responses -- Review configured auto-reply logic for shortcode keywords to verify opt-in/opt-out flows
The AT&T Messaging 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 Messaging to Pydantic AI via MCP
Follow these steps to integrate the AT&T Messaging MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 9 tools from AT&T Messaging with type-safe schemas
Why Use Pydantic AI with the AT&T Messaging MCP Server
Pydantic AI provides unique advantages when paired with AT&T Messaging through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your AT&T Messaging integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your AT&T Messaging connection logic from agent behavior for testable, maintainable code
AT&T Messaging + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the AT&T Messaging MCP Server delivers measurable value.
Type-safe data pipelines: query AT&T Messaging with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple AT&T Messaging tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query AT&T Messaging and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock AT&T Messaging responses and write comprehensive agent tests
AT&T Messaging MCP Tools for Pydantic AI (9)
These 9 tools become available when you connect AT&T Messaging to Pydantic AI via MCP:
create_shortcode
Returns provisioning status and activation timeline. Use for new marketing campaigns or service alerts. Provision a new messaging shortcode with a keyword
delete_shortcode
Use when retiring a campaign or transferring numbers. Decommission a messaging shortcode
get_inbound_messages
Returns sender number, keyword matched, message body, and timestamp. Use for monitoring customer engagement or processing STOP/START commands. Retrieve recent inbound SMS/MMS from customers
get_keyword_responses
Use to review campaign logic or verify opt-in/opt-out flows. Get configured auto-replies for shortcode keywords
get_message_status
Use to track campaign performance or debug failed sends. Check delivery status of a specific message
list_messages
Returns timestamps, sender, recipient, and content snippets. Use for auditing, compliance reporting, or reply tracking. List outbound or inbound messaging history
send_bulk_sms
164 numbers. Returns job ID and per-recipient status array. Use for mass alerts, emergency broadcasts, or promotional campaigns. Send SMS to multiple recipients in one request
send_mms
Requires sender, recipient, message text, and media URL. Use for rich marketing campaigns, product images, or visual alerts. Send an MMS message with media attachment
send_sms
Requires sender ID, recipient E.164 number, and message body. Returns message ID and delivery status. Use this for transactional alerts, OTPs, or customer notifications. Send a single SMS message to a phone number
Example Prompts for AT&T Messaging in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with AT&T Messaging immediately.
"Send an SMS from shortcode 12345 to +12125551234 saying 'Your order #48291 has shipped! Track it at example.com/track'."
"Send a bulk SMS to all these numbers: +12125551001, +12125551002, +12125551003 with the message 'Flash Sale: 50% off everything for the next 2 hours!'."
"Show me all inbound messages from the last 24 hours and check if anyone sent STOP."
Troubleshooting AT&T Messaging MCP Server with Pydantic AI
Common issues when connecting AT&T Messaging to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAT&T Messaging + Pydantic AI FAQ
Common questions about integrating AT&T Messaging MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect AT&T Messaging with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect AT&T Messaging to Pydantic AI
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.
