How do I find my MessageBird API Key?

Log in to your [**MessageBird Dashboard**](https://dashboard.messagebird.com/), navigate to **Developers** > **API Access**, and you will find your Access Key there. Copy and paste it into the field below.

Can the agent check my current credit balance?

Yes. Use the `get_balance` tool. Your agent will retrieve your current account balance and payment type (prepaid/postpaid) instantly.

Is it possible to send SMS to multiple recipients at once?

Yes. The `send_sms` tool accepts a comma-separated list of recipient numbers. Your agent will deliver the message to all recipients and provide the overall delivery status.

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

Name: MessageBird
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 MessageBird through the 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 MessageBird "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in MessageBird?"
    )
    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 MessageBird MCP Server

Empower your AI agent to orchestrate your entire global communication strategy with MessageBird, the leading omnichannel platform. By connecting MessageBird to your agent, you transform complex messaging workflows into a natural conversation. Your agent can instantly send SMS to multiple recipients, audit your contact database, and check your real-time account balance without you ever touching a dashboard. Whether you are providing verification codes or managing marketing broadcasts, your agent acts as a real-time communication coordinator, ensuring your messages are delivered and your audience data is organized.

Pydantic AI validates every MessageBird tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the 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 Intelligence — Send SMS messages to global recipients and retrieve detailed delivery status and history.
Contact Auditing — List and retrieve detailed metadata for your global contact database and groups.
Financial Oversight — Check your real-time account balance to maintain strict organizational control over your costs.
Channel Management — List configured communication channels to ensure your omnichannel strategy is active.
Network Intelligence — List HLR (Home Location Register) requests to verify number validity and network status.

The MessageBird 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 MessageBird to Pydantic AI via MCP

Follow these steps to integrate the MessageBird 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 MessageBird with type-safe schemas

Why Use Pydantic AI with the MessageBird MCP Server

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

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

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

MessageBird + Pydantic AI Use Cases

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

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

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

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

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

MessageBird MCP Tools for Pydantic AI (10)

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

get_balance

Get current MessageBird account balance

get_contact

Get details for a specific contact

get_group

Get details for a specific group

get_message

Get details for a specific message

list_channels

List configured channels

list_contacts

List MessageBird contacts

list_groups

List contact groups

list_hlr

List HLR (Network Lookup) requests

list_messages

List recent SMS messages

send_sms

Send an SMS message

Example Prompts for MessageBird in Pydantic AI

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

"Check my MessageBird account balance."

"List the last 5 SMS messages sent from my account."

"Send SMS 'Your discount code is VINKIUS20' to +15550123."

Troubleshooting MessageBird MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

MessageBird + Pydantic AI FAQ

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