How to Use the Groove MCP in CrewAI
Deploy autonomous support teams using CrewAI and the Groove MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Groove MCP to CrewAI
Create your Vinkius account to connect Groove 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.
Collaborative Groove support in CrewAI
Assign agents to use `list_tickets` for research and `create_message` for resolution. Your crew members work together to clear the support backlog autonomously. Each agent has a specific role. One agent monitors for new tickets while the other drafts responses, creating a closed-loop system.
Automated status updates for CrewAI
Use `update_ticket_state` to let your agents manage the ticket lifecycle. They close or escalate issues based on the analysis of the message history. This removes manual triage from your plate. The crew follows your instructions to keep the helpdesk organized and current.
Deep ticket analysis with CrewAI
Feed `list_messages` results to your analysis agent. It identifies trends in customer issues and prepares reports based on the actual conversation data. Your agents act on the insights they find. They can draft internal notes or notify team members when a recurring issue appears.
Set up Groove 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 Groove tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Groove Analyst",
goal="Access and analyze Groove data via MCP.",
backstory="Expert analyst with direct Groove access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Groove 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="Groove Analyst",
goal="Access and analyze Groove data via MCP.",
backstory="Expert analyst with direct Groove access.",
tools=mcp_tools,
)
task = Task(
description="List recent Groove 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 Groove. 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 Groove MCP in CrewAI
Use it with your favorite AI tools
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