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io.github.team-telnyx/telnyx MCP Server

io.github.team-telnyx/telnyx

Official TypeScript library for the Telnyx API with MCP server support for AI assistants.

What is the io.github.team-telnyx/telnyx MCP server?

The Telnyx MCP server is an official TypeScript library that provides convenient access to the Telnyx REST API from server-side applications. It enables AI assistants to interact with Telnyx API endpoints, make test requests, and explore documentation for SDK integration.

This library provides a TypeScript/JavaScript SDK for the Telnyx REST API, allowing developers to manage calls, phone numbers, and other Telnyx services. The included MCP server enables AI assistants like Claude and Cursor to explore endpoints, make requests, and help integrate the SDK into applications. It includes full type definitions, auto-pagination, error handling, and retry logic.

How to install io.github.team-telnyx/telnyx

Copy-paste configuration for popular MCP clients.

transport: stdio
Config generated by PluginBench — verify against the source before use.
Environment / auth
  • TELNYX_API_KEY
    required
    secret

    Your Telnyx API key for authentication

~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "telnyx": {
      "command": "npx",
      "args": [
        "-y",
        "telnyx"
      ],
      "env": {
        "TELNYX_API_KEY": "<YOUR_TELNYX_API_KEY>"
      }
    }
  }
}

Tools & capabilities

Tools this server exposes to the agent.

  • calls.dial — Initiate phone calls with specified connection, from/to numbers, and webhook URL
  • numberOrders.create — Create phone number orders with specified phone numbers
  • accessIPAddress.list — List access IP addresses with pagination support
  • ai.audio.transcribe — Transcribe audio files using distil-whisper models
  • HTTP verbs (get, post, etc.) — Make custom requests to undocumented or custom endpoints

Use cases

  • Initiate and manage phone calls programmatically with Telnyx
  • Order and manage phone numbers for your application
  • Transcribe audio files using AI models
  • List and manage access IP addresses for security
  • Build custom integrations with Telnyx API endpoints

io.github.team-telnyx/telnyx MCP server FAQ

What is the Telnyx MCP server?

The Telnyx MCP server is an official TypeScript library that allows AI assistants to interact with the Telnyx REST API. It enables exploring endpoints, making test requests, and accessing documentation to help integrate Telnyx services into applications.

Is this library free to use?

The library itself is free and open-source. However, using Telnyx services requires a Telnyx account and API credentials, which may have associated costs depending on your usage.

How do I install this in Cursor?

Click the 'Add to Cursor' button in the README, or manually configure it with: command 'npx', args ['-y', 'telnyx-mcp'], and environment variables for TELNYX_API_KEY, TELNYX_PUBLIC_KEY, TELNYX_CLIENT_ID, and TELNYX_CLIENT_SECRET.

What authentication is required?

You need a Telnyx API key (TELNYX_API_KEY) at minimum. Additional credentials like TELNYX_PUBLIC_KEY, TELNYX_CLIENT_ID, and TELNYX_CLIENT_SECRET may be required depending on which API features you use.

What runtimes does this library support?

The library supports Node.js 20 LTS or later, Deno v1.28.0+, Bun 1.0+, and modern web browsers (Chrome, Firefox, Safari, Edge). TypeScript 4.9+ is required.

Does it handle errors and retries automatically?

Yes, the library automatically retries certain errors (connection errors, 408, 409, 429, >=500) up to 2 times by default with exponential backoff. You can configure maxRetries and timeout settings per client or per request.

README (reference)

Source of truth, from the repository.

Telnyx TypeScript API Library

NPM version npm bundle size

This library provides convenient access to the Telnyx REST API from server-side TypeScript or JavaScript.

The full API of this library can be found in api.md.

It is generated with Stainless.

MCP Server

Use the Telnyx MCP Server to enable AI assistants to interact with this API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.

Add to Cursor Install in VS Code

Note: You may need to set environment variables in your MCP client.

Installation

npm install telnyx

Usage

The full API of this library can be found in api.md.

<!-- prettier-ignore -->
import Telnyx from 'telnyx';

const client = new Telnyx({
  apiKey: process.env['TELNYX_API_KEY'], // This is the default and can be omitted
});

const response = await client.calls.dial({
  connection_id: 'conn12345',
  from: '+15557654321',
  to: '+15551234567',
  webhook_url: 'https://your-webhook.url/events',
});

console.log(response.data);

Request & Response types

This library includes TypeScript definitions for all request params and response fields. You may import and use them like so:

<!-- prettier-ignore -->
import Telnyx from 'telnyx';

const client = new Telnyx({
  apiKey: process.env['TELNYX_API_KEY'], // This is the default and can be omitted
});

const params: Telnyx.NumberOrderCreateParams = {
  phone_numbers: [{ phone_number: '+15558675309' }],
};
const numberOrder: Telnyx.NumberOrderCreateResponse = await client.numberOrders.create(params);

Documentation for each method, request param, and response field are available in docstrings and will appear on hover in most modern editors.

File uploads

Request parameters that correspond to file uploads can be passed in many different forms:

  • File (or an object with the same structure)
  • a fetch Response (or an object with the same structure)
  • an fs.ReadStream
  • the return value of our toFile helper
import fs from 'fs';
import Telnyx, { toFile } from 'telnyx';

const client = new Telnyx();

// If you have access to Node `fs` we recommend using `fs.createReadStream()`:
await client.ai.audio.transcribe({
  model: 'distil-whisper/distil-large-v2',
  file: fs.createReadStream('/path/to/file'),
});

// Or if you have the web `File` API you can pass a `File` instance:
await client.ai.audio.transcribe({
  model: 'distil-whisper/distil-large-v2',
  file: new File(['my bytes'], 'file'),
});

// You can also pass a `fetch` `Response`:
await client.ai.audio.transcribe({
  model: 'distil-whisper/distil-large-v2',
  file: await fetch('https://somesite/file'),
});

// Finally, if none of the above are convenient, you can use our `toFile` helper:
await client.ai.audio.transcribe({
  model: 'distil-whisper/distil-large-v2',
  file: await toFile(Buffer.from('my bytes'), 'file'),
});
await client.ai.audio.transcribe({
  model: 'distil-whisper/distil-large-v2',
  file: await toFile(new Uint8Array([0, 1, 2]), 'file'),
});

Handling errors

When the library is unable to connect to the API, or if the API returns a non-success status code (i.e., 4xx or 5xx response), a subclass of APIError will be thrown:

<!-- prettier-ignore -->
const numberOrder = await client.numberOrders
  .create({ phone_numbers: [{ phone_number: '+15558675309' }] })
  .catch(async (err) => {
    if (err instanceof Telnyx.APIError) {
      console.log(err.status); // 400
      console.log(err.name); // BadRequestError
      console.log(err.headers); // {server: 'nginx', ...}
    } else {
      throw err;
    }
  });

Error codes are as follows:

Status CodeError Type
400BadRequestError
401AuthenticationError
403PermissionDeniedError
404NotFoundError
422UnprocessableEntityError
429RateLimitError
>=500InternalServerError
N/AAPIConnectionError

Retries

Certain errors will be automatically retried 2 times by default, with a short exponential backoff. Connection errors (for example, due to a network connectivity problem), 408 Request Timeout, 409 Conflict, 429 Rate Limit, and >=500 Internal errors will all be retried by default.

You can use the maxRetries option to configure or disable this:

<!-- prettier-ignore -->
// Configure the default for all requests:
const client = new Telnyx({
  maxRetries: 0, // default is 2
});

// Or, configure per-request:
await client.numberOrders.create({ phone_numbers: [{ phone_number: '+15558675309' }] }, {
  maxRetries: 5,
});

Timeouts

Requests time out after 1 minute by default. You can configure this with a timeout option:

<!-- prettier-ignore -->
// Configure the default for all requests:
const client = new Telnyx({
  timeout: 20 * 1000, // 20 seconds (default is 1 minute)
});

// Override per-request:
await client.numberOrders.create({ phone_numbers: [{ phone_number: '+15558675309' }] }, {
  timeout: 5 * 1000,
});

On timeout, an APIConnectionTimeoutError is thrown.

Note that requests which time out will be retried twice by default.

Auto-pagination

List methods in the Telnyx API are paginated. You can use the for await … of syntax to iterate through items across all pages:

async function fetchAllAccessIPAddressResponses(params) {
  const allAccessIPAddressResponses = [];
  // Automatically fetches more pages as needed.
  for await (const accessIPAddressResponse of client.accessIPAddress.list({
    'page[number]': 1,
    'page[size]': 50,
  })) {
    allAccessIPAddressResponses.push(accessIPAddressResponse);
  }
  return allAccessIPAddressResponses;
}

Alternatively, you can request a single page at a time:

let page = await client.accessIPAddress.list({ 'page[number]': 1, 'page[size]': 50 });
for (const accessIPAddressResponse of page.data) {
  console.log(accessIPAddressResponse);
}

// Convenience methods are provided for manually paginating:
while (page.hasNextPage()) {
  page = await page.getNextPage();
  // ...
}

Advanced Usage

Accessing raw Response data (e.g., headers)

The "raw" Response returned by fetch() can be accessed through the .asResponse() method on the APIPromise type that all methods return. This method returns as soon as the headers for a successful response are received and does not consume the response body, so you are free to write custom parsing or streaming logic.

You can also use the .withResponse() method to get the raw Response along with the parsed data. Unlike .asResponse() this method consumes the body, returning once it is parsed.

<!-- prettier-ignore -->
const client = new Telnyx();

const response = await client.numberOrders
  .create({ phone_numbers: [{ phone_number: '+15558675309' }] })
  .asResponse();
console.log(response.headers.get('X-My-Header'));
console.log(response.statusText); // access the underlying Response object

const { data: numberOrder, response: raw } = await client.numberOrders
  .create({ phone_numbers: [{ phone_number: '+15558675309' }] })
  .withResponse();
console.log(raw.headers.get('X-My-Header'));
console.log(numberOrder.data);

Logging

[!IMPORTANT] All log messages are intended for debugging only. The format and content of log messages may change between releases.

Log levels

The log level can be configured in two ways:

  1. Via the TELNYX_LOG environment variable
  2. Using the logLevel client option (overrides the environment variable if set)
import Telnyx from 'telnyx';

const client = new Telnyx({
  logLevel: 'debug', // Show all log messages
});

Available log levels, from most to least verbose:

  • 'debug' - Show debug messages, info, warnings, and errors
  • 'info' - Show info messages, warnings, and errors
  • 'warn' - Show warnings and errors (default)
  • 'error' - Show only errors
  • 'off' - Disable all logging

At the 'debug' level, all HTTP requests and responses are logged, including headers and bodies. Some authentication-related headers are redacted, but sensitive data in request and response bodies may still be visible.

Custom logger

By default, this library logs to globalThis.console. You can also provide a custom logger. Most logging libraries are supported, including pino, winston, bunyan, consola, signale, and @std/log. If your logger doesn't work, please open an issue.

When providing a custom logger, the logLevel option still controls which messages are emitted, messages below the configured level will not be sent to your logger.

import Telnyx from 'telnyx';
import pino from 'pino';

const logger = pino();

const client = new Telnyx({
  logger: logger.child({ name: 'Telnyx' }),
  logLevel: 'debug', // Send all messages to pino, allowing it to filter
});

Making custom/undocumented requests

This library is typed for convenient access to the documented API. If you need to access undocumented endpoints, params, or response properties, the library can still be used.

Undocumented endpoints

To make requests to undocumented endpoints, you can use client.get, client.post, and other HTTP verbs. Options on the client, such as retries, will be respected when making these requests.

await client.post('/some/path', {
  body: { some_prop: 'foo' },
  query: { some_query_arg: 'bar' },
});

Undocumented request params

To make requests using undocumented parameters, you may use // @ts-expect-error on the undocumented parameter. This library doesn't validate at runtime that the request matches the type, so any extra values you send will be sent as-is.

client.calls.dial({
  // ...
  // @ts-expect-error baz is not yet public
  baz: 'undocumented option',
});

For requests with the GET verb, any extra params will be in the query, all other requests will send the extra param in the body.

If you want to explicitly send an extra argument, you can do so with the query, body, and headers request options.

Undocumented response properties

To access undocumented response properties, you may access the response object with // @ts-expect-error on the response object, or cast the response object to the requisite type. Like the request params, we do not validate or strip extra properties from the response from the API.

Customizing the fetch client

By default, this library expects a global fetch function is defined.

If you want to use a different fetch function, you can either polyfill the global:

import fetch from 'my-fetch';

globalThis.fetch = fetch;

Or pass it to the client:

import Telnyx from 'telnyx';
import fetch from 'my-fetch';

const client = new Telnyx({ fetch });

Fetch options

If you want to set custom fetch options without overriding the fetch function, you can provide a fetchOptions object when instantiating the client or making a request. (Request-specific options override client options.)

import Telnyx from 'telnyx';

const client = new Telnyx({
  fetchOptions: {
    // `RequestInit` options
  },
});

Configuring proxies

To modify proxy behavior, you can provide custom fetchOptions that add runtime-specific proxy options to requests:

<img src="https://raw.githubusercontent.com/stainless-api/sdk-assets/refs/heads/main/node.svg" align="top" width="18" height="21"> Node <sup>[docs]</sup>

import Telnyx from 'telnyx';
import * as undici from 'undici';

const proxyAgent = new undici.ProxyAgent('http://localhost:8888');
const client = new Telnyx({
  fetchOptions: {
    dispatcher: proxyAgent,
  },
});

<img src="https://raw.githubusercontent.com/stainless-api/sdk-assets/refs/heads/main/bun.svg" align="top" width="18" height="21"> Bun <sup>[docs]</sup>

import Telnyx from 'telnyx';

const client = new Telnyx({
  fetchOptions: {
    proxy: 'http://localhost:8888',
  },
});

<img src="https://raw.githubusercontent.com/stainless-api/sdk-assets/refs/heads/main/deno.svg" align="top" width="18" height="21"> Deno <sup>[docs]</sup>

import Telnyx from 'npm:telnyx';

const httpClient = Deno.createHttpClient({ proxy: { url: 'http://localhost:8888' } });
const client = new Telnyx({
  fetchOptions: {
    client: httpClient,
  },
});

Frequently Asked Questions

Semantic versioning

This package generally follows SemVer conventions, though certain backwards-incompatible changes may be released as minor versions:

  1. Changes that only affect static types, without breaking runtime behavior.
  2. Changes to library internals which are technically public but not intended or documented for external use. (Please open a GitHub issue to let us know if you are relying on such internals.)
  3. Changes that we do not expect to impact the vast majority of users in practice.

We take backwards-compatibility seriously and work hard to ensure you can rely on a smooth upgrade experience.

We are keen for your feedback; please open an issue with questions, bugs, or suggestions.

Requirements

TypeScript >= 4.9 is supported.

The following runtimes are supported:

  • Web browsers (Up-to-date Chrome, Firefox, Safari, Edge, and more)
  • Node.js 20 LTS or later (non-EOL) versions.
  • Deno v1.28.0 or higher.
  • Bun 1.0 or later.
  • Cloudflare Workers.
  • Vercel Edge Runtime.
  • Jest 28 or greater with the "node" environment ("jsdom" is not supported at this time).
  • Nitro v2.6 or greater.

Note that React Native is not supported at this time.

If you are interested in other runtime environments, please open or upvote an issue on GitHub.

Contributing

See the contributing documentation.

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