What is a sender ID and why do I need one?

A sender ID is the alphanumeric label (3-11 characters) that appears as the sender on the recipient's phone. Approved sender IDs help increase trust and open rates for your messages.

Can I receive replies to my SMS messages?

Yes! Use the `list_responses` tool to retrieve any incoming messages from your customers. This allows your agent to handle two-way communication workflows.

How do I ensure my SMS is delivered at a specific time?

When using the `send_sms` tool, provide a YYYY-MM-DD HH:MM:SS string in the `date` parameter. AvoSMS will queue the message and deliver it exactly at the requested time.

AvoSMS MCP Server for Pydantic AI 11 tools — connect in under 2 minutes

Name: AvoSMS
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 11 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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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 AvoSMS "
            "(11 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in AvoSMS?"
    )
    print(result.data)

asyncio.run(main())

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* 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 AvoSMS MCP Server

Orchestrate your global mobile communication with AvoSMS, the high-performance messaging platform designed for scale. By connecting AvoSMS to your AI agent, you transform SMS outreach from a manual task into a natural conversation. Your agent can now send instant notifications, schedule future broadcasts, manage approved sender identities, and audit your contact lists without you ever touching a dashboard. Whether you're tracking customer responses or monitoring credit balances, your agent acts as a real-time mobile operations manager for your business.

Pydantic AI validates every AvoSMS tool response against typed schemas, catching data inconsistencies at build time. Connect 11 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

Precision Messaging — Send individual or scheduled SMS messages globally with full support for custom delivery timestamps.
Identity Control — Request, list, and manage approved Sender IDs (names) to ensure your brand is always recognized.
Contact Orchestration — Create and manage dedicated contact lists, adding recipients dynamically via natural language.
Response Auditing — Retrieve and list incoming SMS responses to maintain a two-way dialogue with your audience.
Account Health — Instantly check your remaining credit balance and verify account connectivity on the fly.

The AvoSMS MCP Server exposes 11 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 AvoSMS to Pydantic AI via MCP

Follow these steps to integrate the AvoSMS 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 11 tools from AvoSMS with type-safe schemas

Why Use Pydantic AI with the AvoSMS MCP Server

Pydantic AI provides unique advantages when paired with AvoSMS 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 AvoSMS integration code

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

Dependency injection system cleanly separates your AvoSMS connection logic from agent behavior for testable, maintainable code

AvoSMS + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the AvoSMS MCP Server delivers measurable value.

Type-safe data pipelines: query AvoSMS with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple AvoSMS tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query AvoSMS and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock AvoSMS responses and write comprehensive agent tests

AvoSMS MCP Tools for Pydantic AI (11)

These 11 tools become available when you connect AvoSMS to Pydantic AI via MCP:

add_contact

Add a contact to a list

create_list

Create a new contact list

create_sender

Request a new sender ID

delete_list

Delete a contact list

delete_sender

Delete a sender ID

get_account_check

Verify AvoSMS account connection

get_balance

Check remaining SMS credits balance

list_lists

List all contact lists

list_responses

List incoming SMS responses

list_senders

List all approved sender IDs

send_sms

Send an SMS message

Example Prompts for AvoSMS in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with AvoSMS immediately.

"Send an SMS to +33600000000 saying 'Your order is ready for pickup!' using sender 'ShopAlert'."

"Check my AvoSMS credit balance and list recent replies."

"Add the phone number +123456789 to my 'VIP Customers' list."

Troubleshooting AvoSMS MCP Server with Pydantic AI

Common issues when connecting AvoSMS to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

AvoSMS + Pydantic AI FAQ

Common questions about integrating AvoSMS MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your AvoSMS MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.