How to Use the iZooto MCP in CrewAI
Deploy autonomous notification crews using the iZooto MCP Server and CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up iZooto MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke iZooto tools as needed.
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) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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="iZooto Analyst",
goal="Access and analyze iZooto data via MCP.",
backstory="Expert analyst with direct iZooto access.",
tools=mcp_tools,
)
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) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by iZooto. 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.
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
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the iZooto MCP today
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