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How to Use the iZooto MCP in CrewAI

Deploy autonomous notification crews using the iZooto MCP Server and CrewAI.

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Works with every AI agent you already use

…and any MCP-compatible client

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CrewAI

Connect iZooto MCP to CrewAI

Create your Vinkius account to connect iZooto 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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Autonomous push notifications in CrewAI

Assign a dedicated agent to manage your traffic. This agent uses `send_push` to notify users based on the research performed by other crew members. Your crew handles the timing and content. The MCP Server acts as the delivery arm for your autonomous operation.

Segment-based targeting for CrewAI

Specialized agents handle your audience segmentation. Use `create_segment` to organize users based on behavioral patterns found by your research agents. This MCP Server enables precise targeting. Your crew can call `list_segments` to verify the audience before dispatching messages.

Analytics and reporting for CrewAI

Your monitor agent keeps track of campaign success. It calls `get_stats` to pull performance data and reports back to the crew lead. If the data shows low engagement, your crew can adjust the strategy. This cycle runs without human input.

Setup guide

Set up iZooto MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

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

  2. 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. 3

    Kick off your crew

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

crew.py
from crewai import Agent, Task, Crew

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

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

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

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about iZooto MCP in CrewAI

Include the server URL in your agent definition. CrewAI automatically maps the available tools to your agents.
Yes, agents can analyze audience data and use `create_segment` to refine targeting. This keeps your notifications relevant.
Multiple agents can share access to the server. You can restrict specific tools to certain agents using a tool filter.
Agents call `list_notifications` to review past activity. They use this history to inform future decisions.
The MCP Server only interacts with notification delivery and audience metadata. It has no access to private user profiles or credentials.

Start using the iZooto MCP today

We host it, we monitor it, we maintain it. You just paste one token.

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We've already built the connector for iZooto. Just plug in your AI agents and start using Vinkius.

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