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SMS Mobile API MCP Server for Pydantic AIGive Pydantic AI instant access to 11 tools to Get Account Info, Get Delivery Status, Get Device, and more

Built by Vinkius GDPR 11 Tools SDK

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

Ask AI about this App Connector for Pydantic AI

The SMS Mobile API app connector for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 SMS Mobile API "
            "(11 tools)."
        ),
    )

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

asyncio.run(main())
SMS Mobile API
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 SMS Mobile API MCP Server

Connect your SMS Mobile API account to any AI agent to automate your mobile messaging and device orchestration. SMS Mobile API turns your Android phone into a powerful messaging gateway, and this integration allows you to send SMS, manage WhatsApp communications, and track missed calls through natural conversation.

Pydantic AI validates every SMS Mobile API 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

  • Messaging Orchestration — Send instant SMS and WhatsApp messages using your own mobile number and data plan programmatically.
  • Device & Gateway Control — List and monitor your connected Android devices to ensure your messaging gateway is always online.
  • Incoming Communication Tracking — Retrieve received SMS messages and list missed calls to keep your conversational threads synchronized directly from the AI interface.
  • Multi-Port Support — Manage messaging across different device ports and gateways to maintain high delivery rates via natural language.
  • Operational Monitoring — Track message delivery status and monitor device connectivity to ensure reliable customer outreach.

The SMS Mobile API 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.

All 11 SMS Mobile API tools available for Pydantic AI

When Pydantic AI connects to SMS Mobile API through Vinkius, your AI agent gets direct access to every tool listed below — spanning android-gateway, whatsapp-automation, mobile-messaging, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

get_account_info

Get account information and usage statistics

get_delivery_status

Get delivery status for a sent message

get_device

Get details for a specific connected device

get_received_sms

Get incoming SMS messages

list_connected_devices

List connected mobile gateways

list_contacts

List all saved contacts

list_missed_calls

List missed calls log

list_sent_messages

List all sent messages

send_mms

Send an MMS message with media attachment

send_sms

Send SMS from your phone

send_whatsapp

Send WhatsApp from your phone

Connect SMS Mobile API to Pydantic AI via MCP

Follow these steps to wire SMS Mobile API into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 11 tools from SMS Mobile API with type-safe schemas

Why Use Pydantic AI with the SMS Mobile API MCP Server

Pydantic AI provides unique advantages when paired with SMS Mobile API 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 SMS Mobile API 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 SMS Mobile API connection logic from agent behavior for testable, maintainable code

SMS Mobile API + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the SMS Mobile API MCP Server delivers measurable value.

01

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

02

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

03

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

04

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

Example Prompts for SMS Mobile API in Pydantic AI

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

01

"Send an SMS to +1234567890: 'Your order is ready for pickup!'."

02

"Send an SMS notification to all customers about our system maintenance window tonight."

03

"Show me all received SMS messages and missed calls from the last 48 hours."

Troubleshooting SMS Mobile API MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

SMS Mobile API + Pydantic AI FAQ

Common questions about integrating SMS Mobile API 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 SMS Mobile API MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.