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iZooto MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Check Izooto Status, Create Segment, Get Notification, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add iZooto 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 iZooto app connector for LlamaIndex is a standout in the Marketing Automation category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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 iZooto. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in iZooto?"
    )
    print(response)

asyncio.run(main())
iZooto
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 iZooto MCP Server

Connect your iZooto account to any AI agent and take full control of your push notification orchestration and audience efficiency through natural conversation. iZooto provides a powerful platform for web and mobile push engagement, and this integration allows you to retrieve audience metadata, dispatch automated notification campaigns, and monitor real-time performance statistics directly from your chat interface.

LlamaIndex agents combine iZooto tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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

  • Campaign & Push Orchestration — Send push notifications to all subscribers or specific segments programmatically to ensure your marketing reach is always synchronized.
  • Audience & Segment Intelligence — Access and monitor your defined audience segments and retrieve detailed reach metadata directly from the AI interface to track growth trends.
  • Engagement & Performance Oversight — Retrieve granular details for campaign clicks, impressions, and CTR using simple AI commands to maintain high-visibility marketing transparency.
  • UTM & Asset Control — Configure UTM parameters and manage notification content via natural language to drive better conversion tracking and asset consistency.
  • Operational Monitoring — Track system responses and manage push schedules to ensure your customer engagement workflows are always optimized.

The iZooto MCP Server exposes 10 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 10 iZooto tools available for LlamaIndex

When LlamaIndex connects to iZooto through Vinkius, your AI agent gets direct access to every tool listed below — spanning push-notifications, audience-segmentation, user-engagement, 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.

check_izooto_status

Verify iZooto API connectivity

create_segment

Create an audience segment

get_notification

Get notification details

get_stats

Get push analytics

get_subscriber_count

Get total subscriber count

list_audiences

List audience overview

list_notifications

List sent notifications

list_segments

List all segments

send_push

Send a push notification

send_segment_push

Send push to a segment

Connect iZooto to LlamaIndex via MCP

Follow these steps to wire iZooto into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 10 tools from iZooto

Why Use LlamaIndex with the iZooto MCP Server

LlamaIndex provides unique advantages when paired with iZooto through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine iZooto tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain iZooto tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query iZooto, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what iZooto tools were called, what data was returned, and how it influenced the final answer

iZooto + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the iZooto MCP Server delivers measurable value.

01

Hybrid search: combine iZooto real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query iZooto to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying iZooto for fresh data

04

Analytical workflows: chain iZooto queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for iZooto in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with iZooto immediately.

01

"Send a push notification: 'Flash Sale — 50% off all items today!'"

02

"Show push analytics for this month."

03

"How many push subscribers do I have?"

Troubleshooting iZooto MCP Server with LlamaIndex

Common issues when connecting iZooto to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

iZooto + LlamaIndex FAQ

Common questions about integrating iZooto MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query iZooto tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.