Can my agent create a meeting poll with specific date and time options?

Yes. Use the 'create_poll' tool. You can provide a JSON array of option strings (e.g., ['2026-04-01 10:00', '2026-04-02 14:00']). The agent will command the Doodle backend to generate the standard poll structure instantly.

How do I add a participant's vote programmatically via chat?

Use the 'add_participant' tool. Provide the poll ID, the participant's name, and a JSON array of preference values (0=no, 1=yes, 2=if-need-be) matching the number of poll options. The agent will trigger the response routing instantly.

Can I close a poll and set the final meeting time through the agent?

Absolutely. Use the 'close_poll' tool. Provide the poll ID and the text of the winning option. The agent will change the poll state to CLOSED, locking the participation arrays and officially confirming the chosen time.

Doodle MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Doodle
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Doodle through Vinkius, pass the Edge URL in the `mcps` parameter and every Doodle tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Doodle Specialist",
    goal="Help users interact with Doodle effectively",
    backstory=(
        "You are an expert at leveraging Doodle tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Doodle "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Doodle MCP Server

Connect your Doodle account to any AI agent and take full control of your group scheduling and meeting polls through natural conversation.

When paired with CrewAI, Doodle becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Doodle tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Poll Orchestration — List all Doodle polls and retrieve explicitly attached array vectors representing titles, states (OPEN/CLOSED), and final chosen options
Live Poll Creation — Provision new group scheduling polls by commanding absolute explicit text payloads for specific dates and times
Participant Auditing — Enumerate explicitly attached user responses active within any target poll to identify precisely who has voted
Programmatic Voting — Trigger absolute response routing to add or remove participant votes, mapping literal preference arrays (Yes, No, If-need-be) exactly
Collaboration Oversight — Retrieve and append string chats and contextual comments attached to specific poll IDs to verify participant feedback
State Management — Change poll states to CLOSED to lock participation arrays and override core settings to dictate finally which exact option won
Data Invalidation — Irreversibly vaporize explicit poll entities and wipe all associated votes and comments from the system permanently

The Doodle MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Doodle to CrewAI via MCP

Follow these steps to integrate the Doodle MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Doodle

Why Use CrewAI with the Doodle MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Doodle through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Doodle + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Doodle MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Doodle for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Doodle, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Doodle tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Doodle against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Doodle MCP Tools for CrewAI (10)

These 10 tools become available when you connect Doodle to CrewAI via MCP:

add_comment

Add a comment to a Doodle poll

add_participant

Provide a name and preference array (0=no, 1=yes, 2=if-need-be) matching option quantities. Add a participant vote to a Doodle poll programmatically

close_poll

Overrides the core settings dictating finally which exact option value string won. Close a Doodle poll and set the final chosen option

create_poll

Participants will be invited to vote on their preferred options. Create a new Doodle poll for group scheduling

delete_poll

Drops the raw data out of the system returning completely blank state. Permanently delete a Doodle poll and all associated participant votes and comments

get_comments

Retrieve all comments on a Doodle poll

get_poll

Retrieve detailed information for a specific Doodle poll by ID

list_participants

List all participants who voted on a Doodle poll

list_polls

Returns poll titles, states (OPEN/CLOSED), creation dates, number of participants, and chosen final options. List all Doodle polls created by the authenticated user

remove_participant

The core system inherently recalculates the total votes autonomously. Remove a participant and their votes from a Doodle poll

Example Prompts for Doodle in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Doodle immediately.

"List my Doodle polls"

"Create a poll 'Launch Sync' with options: 'Monday 10am', 'Tuesday 2pm'"

"Who has voted on the 'Team Offsite' poll?"

Troubleshooting Doodle MCP Server with CrewAI

Common issues when connecting Doodle to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Doodle + CrewAI FAQ

Common questions about integrating Doodle MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.