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Plivo MCP Server for Pydantic AIGive Pydantic AI instant access to 11 tools to Get Account Info, Get Call Details, Get Message Details, and more

Built by Vinkius GDPR 11 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Plivo 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 Plivo app connector for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 11 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 Plivo "
            "(11 tools)."
        ),
    )

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

asyncio.run(main())
Plivo
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
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DLPData protection
V8 IsolateSandboxed
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<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 Plivo MCP Server

Connect your Plivo communications account to any AI agent and take full control of your global telephony and messaging orchestration through natural conversation. Plivo provides a world-class platform for SMS and Voice services, and this integration allows you to send text messages, retrieve call logs, and manage rented phone numbers directly from your chat interface.

Pydantic AI validates every Plivo tool response against typed schemas, catching data inconsistencies at build time. Connect 11 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 Orchestration — Send and monitor SMS and MMS messages globally programmatically to ensure your customer engagement is always synchronized.
  • Call Monitoring Intelligence — Query all recorded call logs and retrieve real-time metadata, including duration, cost, and status metrics directly from the AI interface.
  • Number Management Control — List all rented phone numbers and manage their configurations via natural language to maintain a clear overview of your communication reach.
  • XML Application Oversight — List and oversee your configured Plivo applications to understand your automated call and message handling logic using simple AI commands.
  • Operational Monitoring — Retrieve account profile information, balance, and credits to ensure your communication pipeline is always optimized.

The Plivo MCP Server exposes 11 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 11 Plivo tools available for Pydantic AI

When Pydantic AI connects to Plivo through Vinkius, your AI agent gets direct access to every tool listed below — spanning sms-api, voice-api, telephony-automation, 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.

get_account_info

Retrieve current Plivo account details

get_call_details

Get details for a specific call

get_message_details

Get details for a specific message

get_number_details

Get details for a specific phone number

get_recording

Get details for a specific recording

list_applications

List all Plivo XML applications

list_calls

List all call logs

list_messages

List all message logs

list_numbers

List all rented phone numbers

list_recordings

List all call recordings

send_sms

Requires a verified Plivo source number or Sender ID and the recipient number in E.164 format. Send a new SMS message

Connect Plivo to Pydantic AI via MCP

Follow these steps to wire Plivo 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 11 tools from Plivo with type-safe schemas

Why Use Pydantic AI with the Plivo MCP Server

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

Plivo + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Plivo in Pydantic AI

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

01

"List my last 5 SMS messages on Plivo."

02

"Send an SMS notification to all customers in the delivery queue with their tracking numbers."

03

"Show me all phone numbers in my Plivo account with their capabilities and monthly costs."

Troubleshooting Plivo MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Plivo + Pydantic AI FAQ

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