How to Use the Monday.com (Work Management & CRM) MCP in AutoGen
Let your AutoGen agents debate project status and update your project boards based on team consensus.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Monday.com (Work Management & CRM) MCP to AutoGen
Create your Vinkius account to connect Monday.com (Work Management & CRM) to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Coordinate multi-agent decisions on your MCP Server
Build an automated project management office. You can set up an AutoGen group chat where one agent pulls board layouts with `list_boards` and another inspects the active tasks using `list_items`. They can debate whether a project is on track before taking action. This prevents mistakes. Instead of a single agent making a wrong guess, your agents discuss the data retrieved from your workspaces, ensuring any changes to your task items are backed by team logic.
Automate item creation and status updates
Let your agents handle the busywork of updating boards. When a consensus is reached, a dedicated execution agent runs `create_item` to add a new task, or `create_update` to document the group's decision right on the board. If a task needs detail, the agent can call `list_subitems` to see what sub-tasks exist, then run `create_update` on specific items to keep your team informed without human intervention.
Automate board cleanup and archiving
Keep your boards clean using automated oversight. By connecting an MCP Server, your agents can monitor task lists, identify completed items, and run `archive_item` or `delete_item` once they agree a project is finished. By querying `list_groups` and `list_updates`, the agents can verify that all criteria are met before removing an item. This ensures your workspaces stay uncluttered without risking data loss.
Set up Monday.com (Work Management & CRM) MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Monday.com (Work Management & CRM) tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Monday.com (Work Management & CRM)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Monday.com (Work Management & CRM) data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Monday.com (Work Management & CRM)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Monday.com (Work Management & CRM) data")
print(result.messages[-1].content) 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 AutoGen
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