Mitto MCP Server for Pydantic AIGive Pydantic AI instant access to 27 tools to Add Masked Number, Add Masking Participant, Cancel 2fa, and more

Name: Mitto
Price: 29 USD
Availability: InStock
Rating: 2.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Mitto MCP Server for Pydantic AI is a standout in the Communication Messaging category — giving your AI agent 27 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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 Mitto "
            "(27 tools)."
        ),
    )

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

Connect your Mitto account to any AI agent to handle global communication workflows through natural conversation.

Pydantic AI validates every Mitto tool response against typed schemas, catching data inconsistencies at build time. Connect 27 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 single or bulk SMS messages globally with custom sender IDs and delivery tracking.
Two-Factor Authentication (2FA) — Generate, send, and verify OTP codes via SMS or Voice channels to secure your user accounts.
Number Lookup — Validate phone numbers and retrieve carrier information to ensure deliverability.
Usage Analytics — Monitor your SMS and 2FA usage statistics grouped by country or date ranges.
Application Management — Manage your Mitto applications and masked numbers for privacy-focused communication.

The Mitto MCP Server exposes 27 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 27 Mitto tools available for Pydantic AI

When Pydantic AI connects to Mitto through Vinkius, your AI agent gets direct access to every tool listed below — spanning sms-api, two-factor-authentication, otp-verification, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add masked number on Mitto

Add a masked number

add

Add masking participant on Mitto

Add a masking participant

cancel

Cancel 2fa on Mitto

Cancel a 2FA OTP request

create

Create masking application on Mitto

Create a number masking application

create

Create masking context on Mitto

Create a masking context

delete

Delete masked number on Mitto

Delete a masked number

delete

Delete masking application on Mitto

Delete a number masking application

delete

Delete masking context on Mitto

Delete a masking context

delete

Delete masking participant on Mitto

Delete a masking participant

get

Get 2fa usage on Mitto

Get 2FA usage records

get

Get sms usage by country on Mitto

Get SMS usage by country

list

List masked numbers on Mitto

List masked numbers

list

List masking applications on Mitto

List number masking applications

list

List masking contexts on Mitto

List masking contexts

list

List masking participants on Mitto

List masking participants

lookup

Lookup number on Mitto

Lookup mobile number information

Search 2fa on Mitto

Search 2FA SDRs

Search masking interactions on Mitto

Search masking interactions

send

Send 2fa on Mitto

Send a 2FA OTP message

send

Send bulk sms on Mitto

Send bulk SMS messages

send

Send sms on Mitto

Send a single SMS message

set

Set 2fa limits on Mitto

Set 2FA limits

set

Set 2fa workflows on Mitto

g., SMS to Voice) for 2FA. Set 2FA workflows

track

Track sms conversion on Mitto

Track SMS conversion

update

Update masking application on Mitto

Update a number masking application

update

Update masking context on Mitto

Update a masking context

verify

Verify 2fa on Mitto

Verify a 2FA OTP code

Connect Mitto to Pydantic AI via MCP

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

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 27 tools from Mitto with type-safe schemas

Why Use Pydantic AI with the Mitto MCP Server

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

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

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

Mitto + Pydantic AI Use Cases

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

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

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

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

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

Example Prompts for Mitto in Pydantic AI

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

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

"Send a 2FA verification code to +447700900123."

"Lookup the phone number +4915123456789 to see the carrier info."

Troubleshooting Mitto MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Mitto + Pydantic AI FAQ

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