TNZ Communications MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Check Api Health, Create Tnz Contact, Get Account Balance, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect TNZ Communications through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The TNZ Communications 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
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 TNZ Communications "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in TNZ Communications?"
)
print(result.data)
asyncio.run(main())
* 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 TNZ Communications MCP Server
Empower your AI agent with access to the TNZ Group messaging gateway to automate your SMS, Voice, and Fax communications in New Zealand and globally.
Pydantic AI validates every TNZ Communications 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
- Multichannel Messaging — Send SMS, automated voice calls (Text-to-Speech), and digital faxes programmatically.
- Delivery Oversight — Monitor the real-time status of sent messages and retrieve incoming SMS replies.
- Contact & Group Control — Manage your TNZ address book and organize contacts into groups for broadcast messaging.
- Operational Monitoring — Track your account credit balance and retrieve detailed messaging usage and cost reports.
The TNZ Communications 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 TNZ Communications tools available for Pydantic AI
When Pydantic AI connects to TNZ Communications through Vinkius, your AI agent gets direct access to every tool listed below — spanning sms-gateway, voice-broadcasting, text-to-speech, 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.
Verify TNZ API connectivity
Add a new contact to TNZ
Check account credit balance
Check delivery status of a message
Retrieve usage and cost reports
List your contact groups
List saved message templates
List inbound SMS replies
List saved contacts in TNZ
Send a document as a fax
Send an SMS message
Send a voice call (Text-to-Speech)
Connect TNZ Communications to Pydantic AI via MCP
Follow these steps to wire TNZ Communications into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the TNZ Communications MCP Server
Pydantic AI provides unique advantages when paired with TNZ Communications 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 TNZ Communications integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your TNZ Communications connection logic from agent behavior for testable, maintainable code
TNZ Communications + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the TNZ Communications MCP Server delivers measurable value.
Type-safe data pipelines: query TNZ Communications with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple TNZ Communications tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query TNZ Communications and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock TNZ Communications responses and write comprehensive agent tests
Example Prompts for TNZ Communications in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with TNZ Communications immediately.
"Send a SMS to +6421000000: 'The delivery is arriving at 2 PM today.'"
"What is the status of my message ID 'ref_123'?"
"Check my current TNZ account balance."
Troubleshooting TNZ Communications MCP Server with Pydantic AI
Common issues when connecting TNZ Communications to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiTNZ Communications + Pydantic AI FAQ
Common questions about integrating TNZ Communications MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.