AT&T Messaging MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add AT&T Messaging as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to AT&T Messaging. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in AT&T Messaging?"
)
print(response)
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.
LlamaIndex agents combine AT&T Messaging tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the AT&T Messaging MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 9 tools from AT&T Messaging
Why Use LlamaIndex with the AT&T Messaging MCP Server
LlamaIndex provides unique advantages when paired with AT&T Messaging through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine AT&T Messaging tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain AT&T Messaging tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query AT&T Messaging, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what AT&T Messaging tools were called, what data was returned, and how it influenced the final answer
AT&T Messaging + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the AT&T Messaging MCP Server delivers measurable value.
Hybrid search: combine AT&T Messaging real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query AT&T Messaging to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying AT&T Messaging for fresh data
Analytical workflows: chain AT&T Messaging queries with LlamaIndex's data connectors to build multi-source analytical reports
AT&T Messaging MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect AT&T Messaging to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting AT&T Messaging to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAT&T Messaging + LlamaIndex FAQ
Common questions about integrating AT&T Messaging MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.