How to Use the Monday.com (Work Management & CRM) MCP in CrewAI

Deploy specialized teams of CrewAI agents to manage Monday.com boards, track tasks, and post updates automatically.

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Connect Monday.com (Work Management & CRM) MCP to CrewAI

Create your Vinkius account to connect Monday.com (Work Management & CRM) 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.

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Setup Monday.com (Work Management & CRM) with CrewAI

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Multi-agent board coordination

The `list_boards` tool provides your CrewAI agents with a complete directory of active projects. This MCP Server allows a researcher agent to scan these boards, while a manager agent uses `list_items` to pull specific tasks that need attention. This collaborative approach lets different agents focus on unique parts of your project management. One agent flags overdue items, and another drafts the updates to resolve them.

Autonomous update posting via MCP Server

The `create_update` tool allows your agents to post progress reports directly to task items. In a CrewAI setup, an execution agent can write these updates autonomously after compiling reports from your development pipelines. You don't need to manually copy status reports anymore. The agents coordinate the data collection and post the final summary directly to the relevant Monday.com task card.

Automated task sorting and archiving

The `archive_item` tool lets your agent team clean up completed boards without human intervention. A moderator agent can review task statuses using `list_subitems` and archive parent items once all sub-tasks are resolved. This keeps your workspace clean and clutter-free. The crew handles the tedious task of board maintenance, leaving your human team to focus on actual development work.

Setup guide

Set up Monday.com (Work Management & CRM) MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. 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 Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Monday.com (Work Management & CRM) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Monday.com (Work Management & CRM) Analyst",
    goal="Access and analyze Monday.com (Work Management & CRM) data via MCP.",
    backstory="Expert analyst with direct Monday.com (Work Management & CRM) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Monday.com (Work Management & CRM) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="Monday.com (Work Management & CRM) Analyst",
        goal="Access and analyze Monday.com (Work Management & CRM) data via MCP.",
        backstory="Expert analyst with direct Monday.com (Work Management & CRM) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Monday.com (Work Management & CRM) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Monday.com. 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 Monday.com (Work Management & CRM) MCP in CrewAI

You can add the server by passing your Vinkius URL directly into the agent's `mcps` array parameter. For more advanced setups, use `MCPServerHTTP` from the `crewai.mcp` package to filter which tools your agents can access.

Yes, they can. CrewAI's shared memory allows different agents to collaborate, meaning one agent can read tasks using `list_items` while another updates them using `create_update` concurrently.

This server supports stdio, SSE, and Streamable HTTP transports. You can choose the transport method that best fits your infrastructure, whether you are running local CLI tests or cloud-based agent workflows.

Yes, you can use a tool filter in CrewAI to expose only read-only tools like `list_items` and `get_board`. This prevents agents from running destructive tools like `delete_item` or `archive_item` unless authorized.

All communication between CrewAI and the server is encrypted via HTTPS. The MCP server runs within an isolated V8 sandbox, meaning your API tokens and task payloads are never exposed to external logs or third-party networks.

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