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How to Use the BoardMix MCP in CrewAI

Deploy specialized CrewAI agent teams to audit, organize, and update your BoardMix visual whiteboards autonomously.

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CrewAI

Connect BoardMix MCP to CrewAI

Create your Vinkius account to connect BoardMix 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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CrewAI Multi-Agent BoardMix Audits via MCP

`list_nodes` lets your researcher agent scan canvas layouts using the MCP Server to identify outdated diagrams or missing labels. Once the scan completes, the agent passes the raw node map to a designer agent via shared memory. The designer agent evaluates the layout and uses `get_comments` to leave feedback directly on the whiteboard coordinates. This collaborative loop runs entirely in the background without human intervention.

Automated Team Space Setup

`list_teams` retrieves your organizational structure so a coordinator agent can map out new project directories. The agent then calls `list_team_projects` to verify if the required workspaces already exist. If a project space is missing, the coordinator agent triggers `create_file` using standard templates. This ensures every team gets an identical, pre-structured whiteboard setup for their sprints.

Visual Organization Monitoring

`list_files` provides your supervisor agent with a complete index of active canvases across all departments. The agent continuously monitors these files to flag naming convention violations or misplaced documents. When the agent finds a violation, it uses `get_org_info` to find the owner and escalate the issue. Your crew handles the entire cleanup process autonomously based on your team's operational rules.

Setup guide

Set up BoardMix MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

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

  2. 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. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke BoardMix tools as needed.

crew.py
from crewai import Agent, Task, Crew

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

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

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

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 BoardMix MCP in CrewAI

Pass your Vinkius endpoint URL directly in the agent's `mcps` array parameter. For more advanced setups, use `MCPServerHTTP` from the `crewai.mcp` package to filter which tools are exposed. This MCP integration lets you restrict specific agents from modifying files.
Yes, your agents share memory and can coordinate actions on the same canvas. One agent can read the layout using `list_nodes` while another agent appends feedback using `get_comments`. This enables complex, multi-step visual audits.
CrewAI uses built-in error handling to manage transient issues with the MCP Server. If a tool like `get_file` fails, the agent will automatically retry or log the error for the supervisor agent. You can configure execution limits to prevent infinite loops.
Yes, you can use the `tool_filter` option in `MCPServerHTTP` to restrict tool access. For example, you can allow a researcher agent to only use `list_files` while denying them the ability to run `create_file`.
Vinkius operates a zero-trust architecture where your comments, file metadata, and node details are processed in ephemeral V8 sandboxes. No data is stored or logged on Vinkius servers. Your single MCP endpoint token secures all communication without exposing raw API keys.

Start using the BoardMix MCP today

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