How to Use the Doodle MCP in CrewAI
Deploy specialized CrewAI agent teams to coordinate Doodle polls, manage participant feedback, and finalize group schedules autonomously.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Doodle MCP to CrewAI
Create your Vinkius account to connect Doodle 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 Meeting Coordination
The `create_poll` tool enables your CrewAI scheduling agent to launch new meeting options via this MCP Server. A separate researcher agent gathers calendar data, while the coordinator agent builds the actual poll. Once created, the coordinator passes the poll ID to other agents in the crew. They use `get_poll` to monitor progress, ensuring the entire team stays aligned on the proposed times.
Collaborative CrewAI Participant Management
The `add_participant` tool allows a specialized outreach agent to submit votes on behalf of external clients. This CrewAI setup ensures your agents act as proxies, keeping external systems in sync with your scheduling sheets. If a client requests a change, a moderator agent runs `remove_participant` to update the choices. The crew then analyzes the remaining options using `list_participants` to find the next best slot.
Autonomous Consensus and Thread Moderation
The `add_comment` tool allows a feedback-monitoring agent to post updates and clarify details directly inside the scheduling thread. This keeps all communication centralized where the entire CrewAI team reads it. When the consensus agent determines that all participants have voted, it triggers `close_poll` to finalize the meeting. The crew then logs the final selection and prepares the meeting materials.
Set up Doodle 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 Doodle tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Doodle Analyst",
goal="Access and analyze Doodle data via MCP.",
backstory="Expert analyst with direct Doodle access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Doodle 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="Doodle Analyst",
goal="Access and analyze Doodle data via MCP.",
backstory="Expert analyst with direct Doodle access.",
tools=mcp_tools,
)
task = Task(
description="List recent Doodle 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 Doodle. 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 Doodle MCP in CrewAI
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