How do I get a Dexatel API Key?

Log in to your Dexatel account, navigate to **Settings > API**, and you can retrieve your unique API Key from that section.

Can the agent receive SMS messages?

Yes, you can use the list_sms_messages tool to view both sent and received messages in your account history.

Does the integration show real-time delivery status?

Yes, when retrieving message details, the agent provides the latest status (e.g., delivered, pending, failed) as reported by the Dexatel platform.

Dexatel MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Dexatel
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Dexatel 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

Open in ChatGPT Open in Claude Open in Perplexity

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 Dexatel "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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 Dexatel MCP Server

Integrate Dexatel, the comprehensive cloud communications platform, directly into your AI workflow. Send SMS messages globally, monitor your messaging logs and delivery statuses, and manage your contact database using natural language.

Pydantic AI validates every Dexatel tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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 Control — Send and receive SMS messages using your authorized Sender IDs and virtual numbers.
Delivery Oversight — Monitor messaging logs in real-time, including technical delivery timestamps and carrier info.
Contact Management — Access and manage your address book, including profiles and messaging history for specific contacts.
Balance Monitoring — Track your account credit balance and API usage directly via chat.

The Dexatel MCP Server exposes 10 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 Dexatel to Pydantic AI via MCP

Follow these steps to integrate the Dexatel 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 10 tools from Dexatel with type-safe schemas

Why Use Pydantic AI with the Dexatel MCP Server

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

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

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

Dexatel + Pydantic AI Use Cases

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

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

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

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

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

Dexatel MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Dexatel to Pydantic AI via MCP:

get_account_balance_metadata

Retrieve current balance and metadata for your Dexatel account

get_contact_profile

Get full profile and history for a specific contact

get_sms_message_details

Get detailed information for a specific SMS message

list_authorized_sender_ids

List all authorized Sender IDs and virtual numbers

list_failed_sms_deliveries

Identify SMS messages that failed to deliver (mock logic)

list_messaging_contacts

List all contacts stored in your Dexatel address book

list_sms_messages

List all sent and received SMS messages in your Dexatel account

list_sms_templates

List all approved message templates

search_sms_by_content

Search for SMS messages containing specific keywords or numbers

send_sms_message

Send a new SMS message to a specific number

Example Prompts for Dexatel in Pydantic AI

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

"Send an SMS to '+1234567890' saying 'Your order is ready!'."

"Show me the last 5 sent messages."

"What is my current account balance?"

Troubleshooting Dexatel MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Dexatel + Pydantic AI FAQ

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