AT&T Messaging MCP Server for LangChain 9 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
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 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.
The largest ecosystem of integrations, chains, and agents. combine AT&T Messaging 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 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.
RAG with live data: combine AT&T Messaging tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query AT&T Messaging, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain AT&T Messaging tools with web scrapers, databases, and calculators in a single agent run
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:
create_shortcode
Returns provisioning status and activation timeline. Use for new marketing campaigns or service alerts. Provision a new messaging shortcode with a keyword
delete_shortcode
Use when retiring a campaign or transferring numbers. Decommission a messaging shortcode
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
get_keyword_responses
Use to review campaign logic or verify opt-in/opt-out flows. Get configured auto-replies for shortcode keywords
get_message_status
Use to track campaign performance or debug failed sends. Check delivery status of a specific message
list_messages
Returns timestamps, sender, recipient, and content snippets. Use for auditing, compliance reporting, or reply tracking. List outbound or inbound messaging history
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
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
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.
"Send an SMS from shortcode 12345 to +12125551234 saying 'Your order #48291 has shipped! Track it at example.com/track'."
"Send a bulk SMS to all these numbers: +12125551001, +12125551002, +12125551003 with the message 'Flash Sale: 50% off everything for the next 2 hours!'."
"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.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAT&T Messaging + LangChain FAQ
Common questions about integrating AT&T Messaging MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
Connect AT&T Messaging with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
