How to Use the Avochato MCP in LlamaIndex

Q: Can LlamaIndex query past Avochato broadcasts?

Yes, the agent calls listbroadcasts to pull campaign details. It indexes the results so you can query which promotions went to which segments.

Q: How does LlamaIndex handle new Avochato contacts?

The agent uses createcontact to register new leads discovered during search queries. It adds them to the index immediately for future lookups.

Index your Avochato message history and contact data directly into LlamaIndex vector stores for grounded RAG.

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Connect Avochato MCP to LlamaIndex

Create your Vinkius account to connect Avochato 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 Avochato with LlamaIndex

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Index live SMS history with this MCP Server

The `list_messages` tool pulls active text threads directly into your indexing pipeline. Your agent parses these transcripts, turning raw SMS exchanges into searchable vector embeddings. Instead of guessing what a customer wants, your query engine searches past conversations. This grounds every response in actual interaction history, eliminating hallucinated replies.

Query customer profiles using LlamaIndex

The `get_contact` tool retrieves deep profile data for any phone number in your system. Your pipeline uses this data to customize the context before generating a response. When contacts change, `update_contact` writes those updates back to the server. This keeps your vector store in sync with reality so your agent never works with stale data.

Automate SMS replies based on semantic search

The `send_message` tool dispatches SMS replies after your agent finds the best answer in your vector index. Using this MCP Server, the agent matches the incoming text against your knowledge base, drafts the response, and sends it. If the query requires a broader reach, the agent uses `create_broadcast` to text entire segments. This lets you run targeted messaging campaigns informed by your indexed business data.

Setup guide

Set up Avochato 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 Avochato 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 Avochato tools.",
)
response = await agent.run("List recent Avochato data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Avochato. 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 Avochato MCP in LlamaIndex

Use the MCP tool spec adapter to load the tools from your Vinkius endpoint. Convert them using `to_tool_list_async()` and pass them to your function agent.

Yes, the agent calls `list_broadcasts` to pull campaign details. It indexes the results so you can query which promotions went to which segments.

The agent uses `create_contact` to register new leads discovered during search queries. It adds them to the index immediately for future lookups.

Yes, you can pass an allowed tools filter during initialization. This restricts the agent to reading data with `list_messages` without allowing it to send texts.

All SMS payloads and contact profiles are processed in ephemeral V8 isolates. The MCP connection uses end-to-end encryption, ensuring your customer communication logs remain isolated and secure.

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