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Termii MCP Server for Pydantic AIGive Pydantic AI instant access to 6 tools to Check Balance, List Sender Ids, Send Otp, and more

Built by Vinkius GDPR 6 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Termii 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 Termii app connector for Pydantic AI is a standout in the Communication Messaging category — giving your AI agent 6 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 Termii "
            "(6 tools)."
        ),
    )

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

asyncio.run(main())
Termii
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* 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 Termii MCP Server

Connect your Termii account to any AI agent and simplify how you manage your global messaging, secure verification, and multi-channel engagement through natural conversation.

Pydantic AI validates every Termii tool response against typed schemas, catching data inconsistencies at build time. Connect 6 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

  • Multi-channel Messaging — Send standard SMS and WhatsApp messages to recipients worldwide with reliable delivery tracking.
  • Secure Verification (OTP) — Send and verify one-time passwords (OTP) programmatically to secure your user onboarding and transactions.
  • Sender ID Management — List all registered Sender IDs to ensure your messages are delivered with recognized branding.
  • Financial Monitoring — Check your account balance and track credit usage for your messaging campaigns directly from the agent.
  • Global Coverage — Reach users across different channels (SMS, WhatsApp, Voice) using Termii's unified communication infrastructure.
  • Real-time Oversight — Monitor transaction statuses and verify identity tokens instantly via AI commands.

The Termii MCP Server exposes 6 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 6 Termii tools available for Pydantic AI

When Pydantic AI connects to Termii through Vinkius, your AI agent gets direct access to every tool listed below — spanning multi-channel-messaging, otp-verification, whatsapp-business, 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.

check_balance

Check account balance

list_sender_ids

List all registered Sender IDs

send_otp

Pass options in JSON. Send a one-time password

send_sms

Pass data as a JSON string. Send an SMS message

send_whatsapp

Pass data as a JSON string. Send a WhatsApp message

verify_otp

Verify an OTP code

Connect Termii to Pydantic AI via MCP

Follow these steps to wire Termii 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 6 tools from Termii with type-safe schemas

Why Use Pydantic AI with the Termii MCP Server

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

Termii + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Termii in Pydantic AI

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

01

"Send a verification code (OTP) to +15550199."

02

"Check my account balance."

03

"List all Sender IDs registered for my account."

Troubleshooting Termii MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Termii + Pydantic AI FAQ

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