AvoSMS MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add AvoSMS 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 AvoSMS. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in AvoSMS?"
)
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 AvoSMS MCP Server
Orchestrate your global mobile communication with AvoSMS, the high-performance messaging platform designed for scale. By connecting AvoSMS to your AI agent, you transform SMS outreach from a manual task into a natural conversation. Your agent can now send instant notifications, schedule future broadcasts, manage approved sender identities, and audit your contact lists without you ever touching a dashboard. Whether you're tracking customer responses or monitoring credit balances, your agent acts as a real-time mobile operations manager for your business.
LlamaIndex agents combine AvoSMS tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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
- Precision Messaging — Send individual or scheduled SMS messages globally with full support for custom delivery timestamps.
- Identity Control — Request, list, and manage approved Sender IDs (names) to ensure your brand is always recognized.
- Contact Orchestration — Create and manage dedicated contact lists, adding recipients dynamically via natural language.
- Response Auditing — Retrieve and list incoming SMS responses to maintain a two-way dialogue with your audience.
- Account Health — Instantly check your remaining credit balance and verify account connectivity on the fly.
The AvoSMS MCP Server exposes 11 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 AvoSMS to LlamaIndex via MCP
Follow these steps to integrate the AvoSMS 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 11 tools from AvoSMS
Why Use LlamaIndex with the AvoSMS MCP Server
LlamaIndex provides unique advantages when paired with AvoSMS through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine AvoSMS tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain AvoSMS tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query AvoSMS, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what AvoSMS tools were called, what data was returned, and how it influenced the final answer
AvoSMS + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the AvoSMS MCP Server delivers measurable value.
Hybrid search: combine AvoSMS real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query AvoSMS 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 AvoSMS for fresh data
Analytical workflows: chain AvoSMS queries with LlamaIndex's data connectors to build multi-source analytical reports
AvoSMS MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect AvoSMS to LlamaIndex via MCP:
add_contact
Add a contact to a list
create_list
Create a new contact list
create_sender
Request a new sender ID
delete_list
Delete a contact list
delete_sender
Delete a sender ID
get_account_check
Verify AvoSMS account connection
get_balance
Check remaining SMS credits balance
list_lists
List all contact lists
list_responses
List incoming SMS responses
list_senders
List all approved sender IDs
send_sms
Send an SMS message
Example Prompts for AvoSMS in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with AvoSMS immediately.
"Send an SMS to +33600000000 saying 'Your order is ready for pickup!' using sender 'ShopAlert'."
"Check my AvoSMS credit balance and list recent replies."
"Add the phone number +123456789 to my 'VIP Customers' list."
Troubleshooting AvoSMS MCP Server with LlamaIndex
Common issues when connecting AvoSMS to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAvoSMS + LlamaIndex FAQ
Common questions about integrating AvoSMS 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 AvoSMS 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 AvoSMS to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.