How to Use the airfocus MCP in CrewAI

Q: Can I filter airfocus tools for specific CrewAI agents?

Use the toolfilter option to give specific agents access to only the tools they need. It keeps your agents focused.

Deploy a specialized crew to manage your product roadmap using the airfocus MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect airfocus MCP to CrewAI

Create your Vinkius account to connect airfocus 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 airfocus with CrewAI

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Claude

Perplexity

Agent crews managing airfocus items

Assign one agent to `list_airfocus_items` and another to score them. They share memory to refine the roadmap without human input. This setup allows for hierarchical execution. Your research agent finds the data, and your strategy agent acts on it.

Automate board maintenance in CrewAI

Use `update_airfocus_item` to keep your roadmap clean as priorities shift. Your crew monitors incoming feedback and adjusts scores automatically. It runs as a background task for your team. You get a updated board without ever opening the app.

Query custom airfocus fields

The crew calls `list_airfocus_fields` to learn the context before creating new entries. It ensures every item follows your team's internal rules. Your agents work with the exact structure of your workspace. They stay aligned with your established tracking methods.

Setup guide

Set up airfocus 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 airfocus tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the server URL to your agent definition. The crew will automatically discover the tools and start collaborating.

They can. Just grant the specific agent permission to use the update tool in your crew configuration.

Our server fits perfectly into sequential workflows. One agent researches the items, and the next updates them based on your goals.

Use the tool_filter option to give specific agents access to only the tools they need. It keeps your agents focused.

Data is scoped to your specific agent session. We use a single endpoint token to ensure only your authorized crew touches your board.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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