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 LangChain 10 tools — connect in under 2 minutes

Name: Telnyx
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Telnyx through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "telnyx": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Telnyx, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

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.

LangChain's ecosystem of 500+ components combines seamlessly with Telnyx through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Telnyx MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Telnyx via MCP

Why Use LangChain with the Telnyx MCP Server

LangChain provides unique advantages when paired with Telnyx through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Telnyx MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Telnyx queries for multi-turn workflows

Telnyx + LangChain Use Cases

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

RAG with live data: combine Telnyx tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Telnyx, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Telnyx tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Telnyx tool call, measure latency, and optimize your agent's performance

Telnyx MCP Tools for LangChain (10)

These 10 tools become available when you connect Telnyx to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Telnyx + LangChain FAQ

Common questions about integrating Telnyx MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.