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Vinkius

AT&T Messaging MCP Server for LangChain 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools Framework

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

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({
        "att-messaging": {
            "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 AT&T Messaging, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
AT&T Messaging
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
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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 AT&T Messaging MCP Server

Connect your AT&T Messaging account to any AI agent and take full control of your SMS/MMS communication workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with AT&T Messaging through native MCP adapters. Connect 9 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

  • SMS Messaging -- Send transactional alerts, OTPs, and customer notifications from registered shortcodes with delivery tracking
  • MMS Messaging -- Attach images, videos, or audio to enrich marketing campaigns and visual alerts
  • Bulk Send -- Broadcast the same message to hundreds of recipients in one request with per-recipient status tracking
  • Delivery Status -- Check real-time delivery state (sent, delivered, failed, read) for any message by its ID
  • Message History -- Query outbound and inbound message logs for auditing, compliance reporting, or reply tracking
  • Inbound Messages -- Retrieve customer replies, opt-outs, and keyword-triggered auto-responses
  • Shortcode Management -- Provision new shortcodes with keywords for campaign routing, or decommission retired numbers
  • Keyword Responses -- Review configured auto-reply logic for shortcode keywords to verify opt-in/opt-out flows

The AT&T Messaging MCP Server exposes 9 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 AT&T Messaging to LangChain via MCP

Follow these steps to integrate the AT&T Messaging MCP Server with LangChain.

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 9 tools from AT&T Messaging via MCP

Why Use LangChain with the AT&T Messaging MCP Server

LangChain provides unique advantages when paired with AT&T Messaging through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine AT&T Messaging MCP tools with 500+ LangChain components

02

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

03

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

04

Memory and conversation persistence let agents maintain context across AT&T Messaging queries for multi-turn workflows

AT&T Messaging + LangChain Use Cases

Practical scenarios where LangChain combined with the AT&T Messaging MCP Server delivers measurable value.

01

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

02

Autonomous research agents: LangChain agents query AT&T Messaging, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain AT&T Messaging tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every AT&T Messaging tool call, measure latency, and optimize your agent's performance

AT&T Messaging MCP Tools for LangChain (9)

These 9 tools become available when you connect AT&T Messaging to LangChain via MCP:

01

create_shortcode

Returns provisioning status and activation timeline. Use for new marketing campaigns or service alerts. Provision a new messaging shortcode with a keyword

02

delete_shortcode

Use when retiring a campaign or transferring numbers. Decommission a messaging shortcode

03

get_inbound_messages

Returns sender number, keyword matched, message body, and timestamp. Use for monitoring customer engagement or processing STOP/START commands. Retrieve recent inbound SMS/MMS from customers

04

get_keyword_responses

Use to review campaign logic or verify opt-in/opt-out flows. Get configured auto-replies for shortcode keywords

05

get_message_status

Use to track campaign performance or debug failed sends. Check delivery status of a specific message

06

list_messages

Returns timestamps, sender, recipient, and content snippets. Use for auditing, compliance reporting, or reply tracking. List outbound or inbound messaging history

07

send_bulk_sms

164 numbers. Returns job ID and per-recipient status array. Use for mass alerts, emergency broadcasts, or promotional campaigns. Send SMS to multiple recipients in one request

08

send_mms

Requires sender, recipient, message text, and media URL. Use for rich marketing campaigns, product images, or visual alerts. Send an MMS message with media attachment

09

send_sms

Requires sender ID, recipient E.164 number, and message body. Returns message ID and delivery status. Use this for transactional alerts, OTPs, or customer notifications. Send a single SMS message to a phone number

Example Prompts for AT&T Messaging in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with AT&T Messaging immediately.

01

"Send an SMS from shortcode 12345 to +12125551234 saying 'Your order #48291 has shipped! Track it at example.com/track'."

02

"Send a bulk SMS to all these numbers: +12125551001, +12125551002, +12125551003 with the message 'Flash Sale: 50% off everything for the next 2 hours!'."

03

"Show me all inbound messages from the last 24 hours and check if anyone sent STOP."

Troubleshooting AT&T Messaging MCP Server with LangChain

Common issues when connecting AT&T Messaging to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

AT&T Messaging + LangChain FAQ

Common questions about integrating AT&T Messaging MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect AT&T Messaging to LangChain

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.