How to Use the KanbanTool MCP in CrewAI

Q: Can I restrict specific CrewAI agents from archiving KanbanTool cards via this MCP Server?

Yes, you can use MCPServerHTTP from crewai.mcp with a toolfilter to selectively expose tools. For example, give your coordinator agent access to archivetaskcard while restricting your writer agents to createtaskcard.

Q: How is my KanbanTool board metadata secured when accessed by CrewAI?

All tool calls to fetch board metadata via getboarddetails are executed inside secure, isolated sandboxes. Your board schemas, task descriptions, and API tokens are processed on the fly and never written to disk or exposed to external networks.

Deploy a multi-agent crew to monitor bottlenecks, assign tasks, and manage KanbanTool boards autonomously using this MCP Server with CrewAI.

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Connect KanbanTool MCP to CrewAI

Create your Vinkius account to connect KanbanTool 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 KanbanTool with CrewAI

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Run multi-agent teams on your KanbanTool boards

The `list_board_tasks` tool allows your CrewAI research agent to scan your active columns and identify bottlenecked tasks automatically. Once identified, a coordinator agent can analyze the workload and decide how to redistribute the team's effort. You can deploy this as a continuous background crew that keeps your project managers updated on overall progress. The agents collaborate using shared memory, ensuring they do not run redundant queries against `get_board_details`.

Autonomous task creation and delegation via MCP Server

The `create_task_card` tool gives your writer and builder agents the power to document and delegate their own sub-tasks. When a specialized agent finishes analyzing a bug, it writes a detailed technical description and posts it directly to the engineering board. Another agent in the crew can immediately pick up this card, query `get_user_profile` to find an available engineer, and use `update_task_details` to assign the card and set a realistic deadline. This entire loop runs without human intervention.

Automated board audit and historical tracking

The `list_task_activities` tool enables your auditor agent to track the exact history of changes on any card. Your agent can flag cards that have been bouncing between 'In Progress' and 'QA' to highlight systemic workflow issues. If a task is deemed permanently blocked, the agent can use `archive_task_card` to clear it off the active board. This keeps your team focused on clean, high-priority items during daily standups.

Setup guide

Set up KanbanTool 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 KanbanTool tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent KanbanTool transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

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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="KanbanTool Analyst",
        goal="Access and analyze KanbanTool data via MCP.",
        backstory="Expert analyst with direct KanbanTool access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent KanbanTool 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 KanbanTool. 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 KanbanTool MCP in CrewAI

Pass your Vinkius MCP Server endpoint URL directly into the `mcps` parameter when defining your CrewAI agents. This exposes tools like `list_boards` and `create_task_card` to your entire crew of agents.

Yes, you can use `MCPServerHTTP` from `crewai.mcp` with a `tool_filter` to selectively expose tools. For example, give your coordinator agent access to `archive_task_card` while restricting your writer agents to `create_task_card`.

Your agents share context and memory, allowing a researcher agent to run `list_board_tasks` and pass the results to an analyst agent, who then uses `update_task_details` to update specific cards.

Yes, you can run a sequential crew that periodically checks `list_task_activities` across all active cards. The crew can compile a summary report and post updates directly to your team's communication channels.

All tool calls to fetch board metadata via `get_board_details` are executed inside secure, isolated sandboxes. Your board schemas, task descriptions, and API tokens are processed on the fly and never written to disk or exposed to external networks.

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