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Tatango MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Add New Sms Subscriber, Check Api Health, Create Broadcast Campaign, and more

Built by Vinkius GDPR 12 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for Pydantic AI

Open in ChatGPT Open in Claude Open in Perplexity

The Tatango app connector for Pydantic AI is a standout in the Communication Messaging category — giving your AI agent 12 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 Tatango "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())
Tatango
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 Tatango MCP Server

Connect your Tatango account to any AI agent and simplify how you manage your high-volume SMS marketing, subscriber lists, and campaign outreach through natural conversation.

Pydantic AI validates every Tatango tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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

  • Subscriber Management — List and search subscribers, add new phone numbers to lists, and handle unsubscribes programmatically.
  • Broadcast Campaigns — Create and send mass SMS campaigns to specific marketing lists and monitor their performance.
  • Transactional SMS — Send one-to-one non-marketing messages like alerts, receipts, and notifications.
  • List Oversight — Manage your marketing directories by listing and inspecting metadata for each subscriber list.
  • Webhook Monitoring — List active webhooks to ensure your outbound events and integrations are running smoothly.
  • Account Visibility — Fetch your profile details and check API health directly from the agent.

The Tatango MCP Server exposes 12 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 12 Tatango tools available for Pydantic AI

When Pydantic AI connects to Tatango through Vinkius, your AI agent gets direct access to every tool listed below — spanning sms-marketing, mms-campaigns, tcpa-compliance, 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.

add_new_sms_subscriber

Can trigger an opt-in confirmation. Add a subscriber to a list

check_api_health

Verify Tatango API connectivity

create_broadcast_campaign

Create and send a broadcast message

get_account_profile

Get authenticated account info

get_list_details

Get details for a specific list

get_subscriber_details

Get info for a specific phone number

list_configured_webhooks

List active webhooks

list_sms_campaigns

List all broadcast campaigns

list_sms_marketing_lists

List all marketing lists

list_sms_subscribers

List subscribers for a specific list

send_transactional_sms

g., receipt, alert) to a phone number. Max 160 chars. Send a one-to-one transactional message

unsubscribe_phone_number

Remove a subscriber from a list

Connect Tatango to Pydantic AI via MCP

Follow these steps to wire Tatango 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 12 tools from Tatango with type-safe schemas

Why Use Pydantic AI with the Tatango MCP Server

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

Tatango + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Tatango in Pydantic AI

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

01

"List all my SMS marketing lists."

02

"Send a broadcast to the 'Volunteer Alerts' list: 'Meeting relocated to Hall B. See you there!'."

03

"Add +15550199 to the 'Main Supporters' list."

Troubleshooting Tatango MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Tatango + Pydantic AI FAQ

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