How to Use the Infinity MCP in CrewAI

Q: Can a crewai agent delete items from my Infinity workspace?

Yes, if you grant the agent permission to use the removeboarditem tool. You can filter tool exposure during setup to prevent agents from deleting critical cards.

Q: How do crewai agents discover folders inside Infinity boards?

The agents use the listboardfolders tool to map out the structure of your board. This allows them to move items between folders accurately without getting lost.

Q: How do I configure the MCP Server with CrewAI?

You can pass the Vinkius HTTP URL directly in the Agent's mcps array configuration. For advanced setups, use the MCPServerHTTP class from crewai.mcp to filter which tools are exposed.

Q: How does CrewAI protect my Infinity board items and comments?

Your data, including task details fetched via listboarditems, is processed locally within your CrewAI runtime. The Vinkius endpoint acts as a secure proxy, ensuring your API keys are never stored or logged.

Deploy collaborative agent crews to manage your Infinity boards, assign tasks, and coordinate projects autonomously using CrewAI.

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Connect Infinity MCP to CrewAI

Create your Vinkius account to connect Infinity 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 Infinity with CrewAI

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Coordinate multi-agent teams on your Infinity boards

CrewAI lets you set up specialized roles to manage your work. A Project Manager agent can monitor progress by calling `list_board_items`, while a Quality Assurance agent inspects the details and updates task cards using `update_board_item` when code is ready. They share memory and state, meaning they won't step on each other's toes. One agent finds the tasks, and the other executes the updates, keeping your boards accurate without human intervention.

Organize workspaces autonomously using CrewAI and MCP

Let your autonomous agents handle the messy work of board maintenance. A triage crew uses this MCP Server to list your active boards with `list_workspace_boards`, find unorganized cards, and sort them into the correct folders using `list_board_folders`. If a task is completed or redundant, the crew can clean up the board by calling `remove_board_item`. This keeps your workspaces clutter-free so your human team can focus on actual work.

Analyze task comments and escalate blockers

CrewAI agents can work together to read through task discussions. An analyst agent pulls comments using `list_item_comments`, while a coordinator agent determines if a blocker exists and writes a summary back to the board. If a blocker is detected, the agent uses `update_board_item` to mark the task as blocked and alerts the team. It turns passive comments into active project updates.

Setup guide

Set up Infinity 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 Infinity tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Infinity 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="Infinity Analyst",
        goal="Access and analyze Infinity data via MCP.",
        backstory="Expert analyst with direct Infinity access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Infinity 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 →

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Common questions about Infinity MCP in CrewAI

You define roles with specific tasks. For example, one agent lists tasks using `list_board_items`, while another updates them via `update_board_item` based on shared memory.

Yes, if you grant the agent permission to use the `remove_board_item` tool. You can filter tool exposure during setup to prevent agents from deleting critical cards.

The agents use the `list_board_folders` tool to map out the structure of your board. This allows them to move items between folders accurately without getting lost.

You can pass the Vinkius HTTP URL directly in the Agent's `mcps` array configuration. For advanced setups, use the `MCPServerHTTP` class from `crewai.mcp` to filter which tools are exposed.

Your data, including task details fetched via `list_board_items`, is processed locally within your CrewAI runtime. The Vinkius endpoint acts as a secure proxy, ensuring your API keys are never stored or logged.

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