How to Use the AvoSMS MCP in LlamaIndex

Q: How do I load AvoSMS tools into LlamaIndex?

Grab llama-index-tools-mcp via pip. Initialize a BasicMCPClient with your Vinkius URL, convert it with McpToolSpec, and pass it to your FunctionAgent.

Q: Can LlamaIndex search my AvoSMS contact lists?

Yes. Calling listlists pulls your current segments. You index those names to help the agent pick the right audience for future campaigns.

Q: Will LlamaIndex automatically text people?

Only if you provide the sendsms tool to the agent. You restrict access using the allowedtools filter during MCP setup to keep the system read-only.

Q: How do I check if the AvoSMS connection is working?

Run the getaccountcheck tool. It verifies your credentials and confirms the MCP Server endpoint is ready to handle queries.

Index AvoSMS contact lists and text histories directly into LlamaIndex.

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Connect AvoSMS MCP to LlamaIndex

Create your Vinkius account to connect AvoSMS to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup AvoSMS with LlamaIndex

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Perplexity

LlamaIndex SMS History RAG

`list_responses` feeds incoming text messages straight into your vector store. Your users query past customer interactions without leaving the chat interface. The system retrieves exact quotes from real SMS threads. This turns temporary messages into permanent, searchable knowledge. Instead of guessing what a customer said last week, your application pulls the exact timestamps and text contents to ground its answers.

AvoSMS MCP Server Contact Search

`list_lists` and `list_senders` dump your entire messaging architecture into the index. When you ask which sender ID belongs to the marketing team, the agent queries the live API data via the MCP Server. It never hallucinates configuration details. You keep your RAG application perfectly synced with reality. If someone runs `delete_sender`, the next index update reflects that change immediately.

Active Messaging from Queries

`send_sms` turns your read-only RAG setup into an active participant. After finding the right answer in your documents, the agent texts the summary directly to a client's phone. Managing the recipient pool works the same way. `add_contact` takes a phone number found in a document and pushes it to a live list. You bridge the gap between static knowledge and active communication.

Setup guide

Set up AvoSMS MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all AvoSMS MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to AvoSMS tools.",
)
response = await agent.run("List recent AvoSMS data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AvoSMS. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about AvoSMS MCP in LlamaIndex

Grab `llama-index-tools-mcp` via pip. Initialize a `BasicMCPClient` with your Vinkius URL, convert it with `McpToolSpec`, and pass it to your `FunctionAgent`.

Yes. Calling `list_lists` pulls your current segments. You index those names to help the agent pick the right audience for future campaigns.

Only if you provide the `send_sms` tool to the agent. You restrict access using the `allowed_tools` filter during MCP setup to keep the system read-only.

Run the `get_account_check` tool. It verifies your credentials and confirms the MCP Server endpoint is ready to handle queries.

The MCP Server itself holds zero state. Vinkius processes your SMS text bodies and phone numbers in a zero-trust sandbox, but how long LlamaIndex keeps that data depends entirely on your local vector store settings.

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