4,000+ servers built on vurb.ts
Vinkius
Pydantic AISDK
Pydantic AI
Mitto MCP Server

Bring Sms Api
to Pydantic AI

Learn how to connect Mitto to Pydantic AI and start using 27 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Add Masked NumberAdd Masking ParticipantCancel 2faCreate Masking ApplicationCreate Masking ContextDelete Masked NumberDelete Masking ApplicationDelete Masking ContextDelete Masking ParticipantGet 2fa UsageGet Sms Usage By CountryList Masked NumbersList Masking ApplicationsList Masking ContextsList Masking ParticipantsLookup NumberSearch 2faSearch Masking InteractionsSend 2faSend Bulk SmsSend SmsSet 2fa LimitsSet 2fa WorkflowsTrack Sms ConversionUpdate Masking ApplicationUpdate Masking ContextVerify 2fa

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Mitto

What is the Mitto MCP Server?

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

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.

How it works

  1. Subscribe to this server
  2. Enter your Mitto API Key
  3. Start sending messages and verifying users from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Developers — integrate SMS notifications and 2FA into apps without leaving the IDE
  • Support Teams — send quick updates or verification codes to customers via chat
  • Marketing Teams — manage bulk SMS campaigns and track conversion rates directly

Built-in capabilities (27)

add_masked_number

Add a masked number

add_masking_participant

Add a masking participant

cancel_2fa

Cancel a 2FA OTP request

create_masking_application

Create a number masking application

create_masking_context

Create a masking context

delete_masked_number

Delete a masked number

delete_masking_application

Delete a number masking application

delete_masking_context

Delete a masking context

delete_masking_participant

Delete a masking participant

get_2fa_usage

Get 2FA usage records

get_sms_usage_by_country

Get SMS usage by country

list_masked_numbers

List masked numbers

list_masking_applications

List number masking applications

list_masking_contexts

List masking contexts

list_masking_participants

List masking participants

lookup_number

Lookup mobile number information

search_2fa

Search 2FA SDRs

search_masking_interactions

Search masking interactions

send_2fa

Send a 2FA OTP message

send_bulk_sms

Send bulk SMS messages

send_sms

Send a single SMS message

set_2fa_limits

Set 2FA limits

set_2fa_workflows

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

track_sms_conversion

Track SMS conversion

update_masking_application

Update a number masking application

update_masking_context

Update a masking context

verify_2fa

Verify a 2FA OTP code

Why Pydantic AI?

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.

  • 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

P
See it in action

Mitto in Pydantic AI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Mitto and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Mitto to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Mitto in Pydantic AI

The Mitto 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. All 27 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Mitto
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

The Vinkius Advantage

How Vinkius secures Mitto for Pydantic AI

Every tool call from Pydantic AI to the Mitto MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I send an SMS to multiple phone numbers at the same time?

Yes! Use the send_bulk_sms tool. You can provide an array of recipient numbers in E.164 format and a single message body to reach multiple users at once.

02

How do I verify a security code sent to a user?

After sending a code with send_2fa, use the verify_2fa tool. You will need the requestId from the initial send and the code provided by the user to confirm their identity.

03

Can I check which countries I am sending the most messages to?

Yes, the get_sms_usage_by_country tool allows you to retrieve usage statistics grouped by country, helping you analyze your global communication reach.

04

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.

05

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.

06

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.

07

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

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