How to Use the Kiwify MCP in CrewAI
Deploy autonomous agent crews on CrewAI to monitor, analyze, and manage your Kiwify store 24/7.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Kiwify MCP to CrewAI
Create your Vinkius account to connect Kiwify 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.
Create an Autonomous Sales Monitoring Crew
Set up a 'Sales Analyst' agent that runs hourly. Its only job is to use `list_sales_history` and look for anomalies—like a sudden drop in sales or an unusually high number of refunds for a specific product. When the Analyst agent finds something, it passes the suspicious transaction IDs to a 'Forensics' agent. This second agent uses `get_sale_details` to dig into each transaction, checking for patterns. The crew works together, moving from high-level monitoring to deep-dive analysis completely on its own.
Build a Proactive Subscription Management Team
Assign a 'Subscription Watcher' agent to periodically run `list_active_subscriptions`. This agent's role is to build a snapshot of your current recurring revenue base and check for churn risks. It hands that list to a 'Retention Specialist' agent. This second agent could cross-reference the list with your support system's data. If a high-value subscriber has an open support ticket, the agent could flag it for immediate human attention. This Kiwify MCP Server provides the foundational data for your crew's tasks.
Deploy a CrewAI Team for Product Insights
This is perfect for a research crew. A 'Cataloguer' agent can use `list_products` to get a complete list of what you're selling. It keeps the product list up to date. It then delegates tasks to a 'Performance Analyst' agent for each product. That agent uses `list_sales_history` filtered by product ID to calculate metrics, passing its findings to a 'Strategist' agent to summarize which products are performing best. This is how you automate business intelligence.
Set up Kiwify 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 Kiwify tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Kiwify Analyst",
goal="Access and analyze Kiwify data via MCP.",
backstory="Expert analyst with direct Kiwify access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Kiwify 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="Kiwify Analyst",
goal="Access and analyze Kiwify data via MCP.",
backstory="Expert analyst with direct Kiwify access.",
tools=mcp_tools,
)
task = Task(
description="List recent Kiwify 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 Kiwify. 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 Kiwify MCP in CrewAI
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