MoEngage MCP Server for LlamaIndexGive LlamaIndex instant access to 13 tools to Check Moengage Status, Get Campaign, Get Campaign Stats, and more

Name: MoEngage
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add MoEngage 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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The MoEngage MCP Server for LlamaIndex is a standout in the Growth Engine category — giving your AI agent 13 tools to work with, ready to go from day one.

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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 MoEngage. "
            "You have 13 tools available."
        ),
    )

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

asyncio.run(main())

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* 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 MoEngage MCP Server

Connect your MoEngage account to any AI agent and manage customer engagement through natural conversation.

LlamaIndex agents combine MoEngage tool responses with indexed documents for comprehensive, grounded answers. Connect 13 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

User Management — Create/update user attributes and device data
Event Tracking — Track custom user events and behaviors
Push Notifications — Trigger transactional and marketing push messages
Campaign Management — Launch and pause multi-channel campaigns
Analytics — Retrieve campaign performance and user statistics

The MoEngage MCP Server exposes 13 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 13 MoEngage tools available for LlamaIndex

When LlamaIndex connects to MoEngage through Vinkius, your AI agent gets direct access to every tool listed below — spanning customer-engagement, push-notifications, behavioral-analytics, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

check

Check moengage status on MoEngage

Verify connectivity

get

Get campaign on MoEngage

Get campaign details

get

Get campaign stats on MoEngage

Get campaign stats

get

Get customer on MoEngage

Get customer details

get

Get segment on MoEngage

Get segment details

list

List campaigns on MoEngage

List campaigns

list

List segments on MoEngage

List segments

Search customers on MoEngage

Search customers

send

Send push on MoEngage

Send push notification

track

Track event on MoEngage

Track an event

track

Track events bulk on MoEngage

Track events in bulk

update

Update device on MoEngage

Update device info

upsert

Upsert customer on MoEngage

Create or update customer

Connect MoEngage to LlamaIndex via MCP

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

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 13 tools from MoEngage

Why Use LlamaIndex with the MoEngage MCP Server

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

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

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

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

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

MoEngage + LlamaIndex Use Cases

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

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

Data enrichment: query MoEngage 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 MoEngage for fresh data

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

Example Prompts for MoEngage in LlamaIndex

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

"Show performance for the 'Spring Sale Push' campaign."

"Send a transactional push notification to user 8901."

"Track a 'Subscription Upgraded' event for user Sarah."

Troubleshooting MoEngage MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

MoEngage + LlamaIndex FAQ

Common questions about integrating MoEngage MCP Server with LlamaIndex.

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.

Can I combine MCP tools with vector stores?

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