How to integrate Telnyx MCP with Mastra AI

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Introduction

This guide walks you through connecting Telnyx to Mastra 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, delete a notification profile by id through natural language commands.

This guide will help you understand how to give your Mastra 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.

TL;DR

Here's what you'll learn:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Telnyx tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Telnyx tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your Telnyx agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

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.

Supported Tools & Triggers

Tools
Create NetworkTool to create a new network.
Create Notification ChannelTool to create a notification channel.
Create Notification ProfileTool to create a notification profile.
Create Notification SettingTool to add a notification setting.
Delete NetworkTool to delete a network by id.
Delete Notification ChannelTool to delete a notification channel by id.
Delete Notification ProfileTool to delete a notification profile by id.
Delete Notification SettingTool to delete a notification setting by id.
Get User BalanceTool to retrieve the current user account balance and credit details.
List Audit LogsTool to retrieve a list of audit log entries for your account.
List ConnectionsTool to retrieve all connections in your account.
List Dynamic Emergency EndpointsTool to list dynamic emergency endpoints.
List Messaging ProfilesTool to list messaging profiles.
List Messaging URL DomainsTool to list configured messaging url domains.
List Mobile Network OperatorsTool to list available mobile network operators.
List Network InterfacesTool to list all network interfaces for a specified network.
List NetworksTool to list all networks in your account.
List Notification ChannelsTool to list all notification channels.
List Notification Event ConditionsTool to list all notification event conditions.
List Notification EventsTool to list all notification events.
List Notification ProfilesTool to list all notification profiles.
List Phone NumbersTool to list phone numbers associated with your account.
List SSO Authentication ProvidersTool to retrieve all configured sso authentication providers.
Retrieve NetworkTool to retrieve details of a specific network by id.
Retrieve Notification ChannelTool to retrieve a notification channel by id.
Retrieve Notification ProfileTool to retrieve a notification profile by id.
Retrieve Notification SettingTool to retrieve a notification setting by id.
Update NetworkTool to update details of an existing network.

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

What is Tool Router?

Composio's Tool Router 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 Tool Router

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

How the Tool Router works

The Tool Router 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

Prerequisites

Before starting, make sure you have:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Telnyx through MCP.

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session

Create a Tool Router session for Telnyx

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["telnyx"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Telnyx MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "telnyx" for Telnyx access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the Telnyx toolkit

Create the Mastra agent

typescript
const agent = new Agent({
    name: "telnyx-mastra-agent",
    instructions: "You are an AI agent with Telnyx tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        telnyx: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Telnyx toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

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

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["telnyx"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      telnyx: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "telnyx-mastra-agent",
    instructions: "You are an AI agent with Telnyx tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { telnyx: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Telnyx through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows

How to build Telnyx MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Telnyx MCP with OpenAI Agents SDK

Claude Agent SDK

Claude Agent SDK

Use Telnyx MCP with Claude Agent SDK

Google ADK

Google ADK

Use Telnyx MCP with Google ADK

LangChain

LangChain

Use Telnyx MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Telnyx MCP with Vercel AI SDK

LlamaIndex

LlamaIndex

Use Telnyx MCP with LlamaIndex

CrewAI

CrewAI

Use Telnyx MCP with CrewAI

FAQ

What are the differences in Tool Router MCP and Telnyx MCP?

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.

Can I use Tool Router MCP with Mastra AI?

Yes, you can. Mastra 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.

Can I manage the permissions and scopes for Telnyx while using Tool Router?

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.

How safe is my data with Composio Tool Router?

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.

Used by agents from

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