How to Use the InnoVint MCP in CrewAI
Deploy a specialized crew to manage your winery operations using the InnoVint MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect InnoVint MCP to CrewAI
Create your Vinkius account to connect InnoVint 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.
Multi-agent winery coordination
Assign agents to `search_lots` and `list_vintages` to track harvest progress across multiple facilities. One agent gathers data while another prepares the summary report. This specialization keeps your operations moving. Your crew works together to monitor production without human intervention.
Autonomous inventory monitoring
Use a monitor agent to call `list_vessels` continuously. If fill levels hit a threshold, the moderator agent takes action to update the production schedule. It keeps your cellar space organized. You define the rules and let the crew manage the daily adjustments.
InnoVint data sharing for crews
Give your agents access to `list_wineries` and `list_wines` to maintain a unified view of your entire operation. Shared memory ensures every agent knows the status of every lot. It prevents communication gaps between agents. Your crew acts on the same data to keep the winery running smoothly.
Set up InnoVint 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 InnoVint tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="InnoVint Analyst",
goal="Access and analyze InnoVint data via MCP.",
backstory="Expert analyst with direct InnoVint access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent InnoVint 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="InnoVint Analyst",
goal="Access and analyze InnoVint data via MCP.",
backstory="Expert analyst with direct InnoVint access.",
tools=mcp_tools,
)
task = Task(
description="List recent InnoVint 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 InnoVint. 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 InnoVint MCP in CrewAI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the InnoVint MCP today
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