Avochato MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create Contact, Create Webhook, Delete Webhook, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Avochato as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The Avochato app connector for LlamaIndex is a standout in the Communication Messaging category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Avochato. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Avochato?"
)
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 Avochato MCP Server
Connect your Avochato account to any AI agent and take full control of your high-fidelity business texting and customer engagement workflows through natural conversation.
LlamaIndex agents combine Avochato tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- Multichannel Messaging Orchestration — Instantly dispatch high-fidelity SMS and MMS messages to customers and leads with automatic link and media handling
- Relationship Intelligence — Sync and manage your entire business contact directory programmatically, retrieving detailed high-fidelity profiles and interaction history
- Ticket Lifecycle Management — Organize team workflows by creating and updating tickets, monitoring status transitions, and assigning ownership in real-time
- Communication Architecture — Access complete conversation logs and message threads to maintain high-fidelity oversight of your organizational digital voice
- Operational Monitoring — Configure real-time webhooks for incoming messages and retrieve account-level metadata directly through your agent for instant reporting
The Avochato MCP Server exposes 12 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.
All 12 Avochato tools available for LlamaIndex
When LlamaIndex connects to Avochato through Vinkius, your AI agent gets direct access to every tool listed below — spanning business-messaging, sms-marketing, mms, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new contact
Create a new webhook
Delete a webhook
Get account identity
Get contact details
List SMS contacts
List SMS/MMS messages
List conversation tickets
List active webhooks
Send an SMS/MMS
Update contact info
Update ticket status
Connect Avochato to LlamaIndex via MCP
Follow these steps to wire Avochato into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Avochato MCP Server
LlamaIndex provides unique advantages when paired with Avochato through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Avochato tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Avochato tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Avochato, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Avochato tools were called, what data was returned, and how it influenced the final answer
Avochato + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Avochato MCP Server delivers measurable value.
Hybrid search: combine Avochato real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Avochato 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 Avochato for fresh data
Analytical workflows: chain Avochato queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Avochato in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Avochato immediately.
"Send a SMS 'Your order is ready!' to '+14155550123'."
"List all active tickets in my Avochato inbox."
"Update ticket '12345' status to 'closed'."
Troubleshooting Avochato MCP Server with LlamaIndex
Common issues when connecting Avochato to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAvochato + LlamaIndex FAQ
Common questions about integrating Avochato MCP Server with LlamaIndex.