Can my AI agent check if a specific message was delivered?

Yes. If an end user reports completely missing an important text, you can ask your agent to pull up the message status using its unique ID. The agent will read back exactly whether Telnyx successfully handed off the payload or if it encountered carrier-level rejection codes.

Is it possible to track the account billing balance?

Absolutely. You can request your current Telnyx account balance to confirm you have enough credit left to continue broadcasting. Just ask 'What is my current Telnyx balance?' and your agent will give you the exact remaining dollar threshold.

Can I configure new Messaging Profiles via AI?

Yes! Developers often need to isolate test traffic from production. You can simply ask your agent to list all current global profiles, and if needed, instruct it to immediately create a new messaging profile to attach webhook URLs.

Telnyx MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Telnyx
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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 Telnyx "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

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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 Telnyx MCP Server

Connect your Telnyx account to any AI agent and manage your voice and messaging operations directly through natural conversation.

Pydantic AI validates every Telnyx tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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

Send Messages — Dispatch SMS and MMS texts, including media URLs, across your numbers in real-time
Check Delivery Status — Look up message details and verify whether texts were successfully delivered or rejected
Manage Phone Numbers — Browse your active E.164 phone numbers and retrieve configuration details
Messaging Profiles — Create, update, list, and delete messaging profiles for your applications
Account Billing — Monitor your exact account balance and available credits before dispatching campaigns

The Telnyx MCP Server exposes 10 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.

How to Connect Telnyx to Pydantic AI via MCP

Follow these steps to integrate the Telnyx MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Telnyx with type-safe schemas

Why Use Pydantic AI with the Telnyx MCP Server

Pydantic AI provides unique advantages when paired with Telnyx 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 Telnyx integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Telnyx connection logic from agent behavior for testable, maintainable code

Telnyx + Pydantic AI Use Cases

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

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

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

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

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

Telnyx MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Telnyx to Pydantic AI via MCP:

create_messaging_profile

Creates a new messaging profile

delete_messaging_profile

This action is irreversible. Permanently deletes a messaging profile

get_account_balance

Retrieves the current Telnyx account credit balance

get_message_details

Retrieves details and delivery status for a specific message

get_messaging_profile_details

Retrieves details for a specific messaging profile

get_number_settings

Retrieves configuration and capability details for a specific phone number

list_messaging_profiles

Lists all messaging profiles in the account

list_phone_numbers

164 numbers and retrieve their unique IDs. Lists all phone numbers owned by the account

send_media_message

Provide from/to numbers and a 100% public JPEG/PNG URL. Sends an outbound MMS message with a media URL

send_text_message

Provide a registered Telnyx from_number and a target to_number in E.164 format. Sends an outbound SMS message via Telnyx

Example Prompts for Telnyx in Pydantic AI

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

"What is my current Telnyx account balance?"

"List all the phone numbers I currently own and their IDs."

"Send a text message from +14155552671 to +12125550999 saying that the server is down."

Troubleshooting Telnyx MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Telnyx + Pydantic AI FAQ

Common questions about integrating Telnyx MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Telnyx MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.