MoEngage MCP Server for Pydantic AIGive Pydantic AI 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

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect MoEngage through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The MoEngage MCP Server for Pydantic AI is a standout in the Growth Engine category — giving your AI agent 13 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to MoEngage "
            "(13 tools)."
        ),
    )

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

asyncio.run(main())

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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 MoEngage MCP Server

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

Pydantic AI validates every MoEngage tool response against typed schemas, catching data inconsistencies at build time. Connect 13 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

Why Use Pydantic AI with the MoEngage MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your MoEngage integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your MoEngage connection logic from agent behavior for testable, maintainable code

MoEngage + Pydantic AI Use Cases

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

Type-safe data pipelines: query MoEngage with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple MoEngage tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query MoEngage and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock MoEngage responses and write comprehensive agent tests

Example Prompts for MoEngage in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

MoEngage + Pydantic AI FAQ

Common questions about integrating MoEngage MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your MoEngage MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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