How to integrate Telnyx MCP with Pydantic AI

This guide walks you through connecting Telnyx to Pydantic AI using the Composio tool router. By the end, you'll have a working Telnyx agent that can check current telnyx account balance, list recent audit logs for last week, create new sms notification channel through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Telnyx account through Composio's Telnyx MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Telnyx logoTelnyx
Api Key

Telnyx is a communications platform offering voice, SMS, and data services on a global private network. It empowers businesses to automate messaging, calls, and notifications at scale.

30 Tools

Introduction

This guide walks you through connecting Telnyx to Pydantic AI using the Composio tool router. By the end, you'll have a working Telnyx agent that can check current telnyx account balance, list recent audit logs for last week, create new sms notification channel through natural language commands.

This guide will help you understand how to give your Pydantic AI agent real control over a Telnyx account through Composio's Telnyx MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

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TL;DR

Here's what you'll learn:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Telnyx
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Telnyx workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

What is the Telnyx MCP server, and what's possible with it?

The Telnyx MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Telnyx account. It provides structured and secure access to your Telnyx communications platform, so your agent can manage networks, handle notification channels, monitor usage, and review account activities on your behalf.

  • Network provisioning and management: Easily create or delete network resources, allowing your agent to spin up new networks or remove unused ones as needed.
  • Notification channel automation: Set up, configure, or remove notification channels—including SMS, voice, email, or webhook endpoints—so your agent can handle event-driven communications flexibly.
  • Notification profile and settings control: Group and configure notification profiles and settings, enabling your agent to define how and when notifications are delivered for different events.
  • Real-time balance monitoring: Retrieve your current account balance and credit details, helping your agent keep tabs on usage and alert you before credits run low.
  • Comprehensive audit log access: Review detailed audit logs so your agent can surface recent changes, track resource modifications, and help maintain compliance or troubleshoot issues quickly.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account with an active API key
  • Basic familiarity with Python and async programming
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Telnyx
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs
5

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Telnyx
  • MCPServerStreamableHTTP connects to the Telnyx MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Telnyx
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["telnyx"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Telnyx tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
telnyx_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[telnyx_mcp],
    instructions=(
        "You are a Telnyx assistant. Use Telnyx tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Telnyx endpoint
  • The agent uses GPT-5 to interpret user commands and perform Telnyx operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Telnyx.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Telnyx API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Telnyx and Pydantic AI:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Telnyx
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["telnyx"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    telnyx_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[telnyx_mcp],
        instructions=(
            "You are a Telnyx assistant. Use Telnyx tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Telnyx.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You've built a Pydantic AI agent that can interact with Telnyx through Composio's Tool Router. With this setup, your agent can perform real Telnyx actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Telnyx for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
TOOLS

Supported Tools

Every Telnyx action and event your agent gets out of the box.

Create Network

Tool to create a new network.

Create Notification Channel

Tool to create a notification channel.

Create Notification Profile

Tool to create a notification profile.

Create Notification Setting

Tool to add a notification setting.

Delete Network

Tool to delete a network by ID.

Delete Notification Channel

Tool to delete a notification channel by ID.

Delete Notification Profile

Tool to delete a notification profile by ID.

Delete Notification Setting

Tool to delete a notification setting by ID.

Get Black Box Test Results

Tool to retrieve black box test results from Telnyx SETI Observability.

Get User Balance

Tool to retrieve the current user account balance and credit details.

List Audit Logs

Tool to retrieve a list of audit log entries for your account.

List Connections

Tool to retrieve all connections in your account.

List Dynamic Emergency Endpoints

Tool to list dynamic emergency endpoints.

List Global IP Health Check Types

Tool to list all available global IP health check types.

List Messaging Profiles

Tool to list messaging profiles.

List Messaging URL Domains

Tool to list configured messaging URL domains.

List Mobile Network Operators

Tool to list available mobile network operators.

List Network Interfaces

Tool to list all network interfaces for a specified network.

List Networks

Tool to list all networks in your account.

List Notification Channels

Tool to list all notification channels.

List Notification Event Conditions

Tool to list all notification event conditions.

List Notification Events

Tool to list all notification events with their IDs.

List Notification Profiles

Tool to list all notification profiles.

List Phone Numbers

Tool to list phone numbers associated with your account.

List SSO Authentication Providers

Tool to retrieve all configured SSO authentication providers.

Retrieve Network

Tool to retrieve details of a specific network by ID.

Retrieve Notification Channel

Tool to retrieve a notification channel by ID.

Retrieve Notification Profile

Tool to retrieve a notification profile by ID.

Retrieve Notification Setting

Tool to retrieve a notification setting by ID.

Update Network

Tool to update details of an existing network.

FAQ

Frequently asked questions

With a standalone Telnyx MCP server, the agents and LLMs can only access a fixed set of Telnyx tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Telnyx and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Pydantic AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Telnyx tools.

Yes, absolutely. You can configure which Telnyx scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Telnyx data and credentials are handled as safely as possible.

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