How to Use the MoEngage MCP in CrewAI

Q: How do I share MoEngage MCP Server tools across multiple CrewAI agents?

You pass the Vinkius HTTP URL to your CrewAI agent's mcps configuration array. This gives all agents in your crew access to the 13 tools, allowing them to collaborate on tasks like listcampaigns and sendpush.

Q: How does CrewAI handle parallel event tracking in MoEngage?

CrewAI agents can use trackeventsbulk to batch track multiple user actions simultaneously. This minimizes API roundtrips and ensures your high-volume event data is logged efficiently during intense agent workflows.

Q: Is it possible to limit which MoEngage tools a CrewAI agent can use?

Yes, you can use the MCPServerHTTP class with a toolfilter to restrict an agent's access. For example, you can let a research agent use getcustomer while blocking it from using sendpush.

Run autonomous multi-agent teams to monitor, analyze, and optimize your MoEngage campaigns using CrewAI.

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Connect MoEngage MCP to CrewAI

Create your Vinkius account to connect MoEngage to CrewAI 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 MoEngage with CrewAI

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Deploy a CrewAI team to manage MoEngage campaigns

Let specialized agents run your mobile engagement strategy. One agent can monitor performance using `get_campaign_stats`, while another analyzes user behavior via `get_customer` and a third updates profiles using `upsert_customer` with this MCP Server. This collaborative approach means your agents work together in a shared memory space. They can detect dropping conversion rates and automatically update target segments without manual intervention.

Track events and escalate issues autonomously

Set up a CrewAI agent to watch for critical system events and log them using `track_event`. If a high-priority user experiences an error, the agent can instantly trigger a personalized push using `send_push`. The entire process happens in seconds. By letting your agents coordinate, you ensure that critical user milestones or friction points are addressed immediately with targeted messaging.

Let CrewAI agents refine your MoEngage segments

Your agents can read through user behaviors using `search_customers` and check existing groups with `list_segments` over the MCP link. They can then clean up stale data or reorganize users to make your campaigns more precise. By using `update_device` and profile updates, the crew keeps your contact lists clean. This keeps your delivery rates high and ensures your marketing spend goes to active devices.

Setup guide

Set up MoEngage MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke MoEngage tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="MoEngage Analyst",
    goal="Access and analyze MoEngage data via MCP.",
    backstory="Expert analyst with direct MoEngage access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent MoEngage transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="MoEngage Analyst",
        goal="Access and analyze MoEngage data via MCP.",
        backstory="Expert analyst with direct MoEngage access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent MoEngage transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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

You pass the Vinkius HTTP URL to your CrewAI agent's `mcps` configuration array. This gives all agents in your crew access to the 13 tools, allowing them to collaborate on tasks like `list_campaigns` and `send_push`.

Yes, you can dedicate an analyst agent to fetch metrics using `get_campaign_stats`. The agent can then share these insights with a copywriter agent to adjust push messaging strategies dynamically.

CrewAI agents can use `track_events_bulk` to batch track multiple user actions simultaneously. This minimizes API roundtrips and ensures your high-volume event data is logged efficiently during intense agent workflows.

Yes, you can use the `MCPServerHTTP` class with a `tool_filter` to restrict an agent's access. For example, you can let a research agent use `get_customer` while blocking it from using `send_push`.

The MCP Server runs within a zero-trust V8 sandbox on Vinkius, meaning your customer profiles and device tokens are never exposed to the agent framework's external logs. All data transfers are encrypted and ephemeral.

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