How to Use the BasicOps MCP in CrewAI

Q: Can a CrewAI agent create BasicOps tasks automatically?

Yes. An agent equipped with the createtask tool will generate new items whenever its instructions dictate. It handles the JSON formatting and API execution entirely on its own.

Q: Does CrewAI support filtering tools by agent role?

You can easily filter tools by role. Give listtaskmessages to a researcher agent while restricting createproject to a manager agent. This prevents junior agents from making unauthorized structural changes.

Deploy specialized autonomous agents that manage BasicOps projects, assign tasks, and monitor team progress using CrewAI.

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Connect BasicOps MCP to CrewAI

Create your Vinkius account to connect BasicOps 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 BasicOps with CrewAI

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Perplexity

Delegate project tracking to a CrewAI agent

Humans waste hours checking project statuses. You can assign a dedicated monitor agent to run `list_projects` and `get_project` every morning. This agent reads the board, identifies stalled work, and compiles a daily briefing. Action happens through specialized roles. While the monitor watches, a separate coordinator agent uses `update_task` to reassign overdue items. The crew shares memory, so the coordinator knows exactly which tasks the monitor flagged.

Break down deliverables automatically

Large assignments need granular steps. A planning agent can ingest a raw feature request and map out the required work. It then fires `list_project_sections` to find the right column before executing `create_task` for each sub-component. Context is never lost during handoffs. The system pulls team availability via `list_team_users` to ensure even distribution. Your hierarchical crew handles the entire breakdown without you ever opening the BasicOps interface.

Analyze BasicOps MCP Server discussions

Important decisions hide inside task comments. An analyst agent can pull thread history using `list_task_messages` to summarize how a specific bug was resolved. This prevents developers from repeating the same lengthy conversations. You control exactly what each agent sees. By applying a tool filter in your setup, you restrict the analyst to read-only tools like `get_task`. Only your designated manager agent gets permission to create or modify records.

Setup guide

Set up BasicOps 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 BasicOps tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass your Vinkius endpoint directly into the mcps array when defining your agent. For granular control, import MCPServerHTTP and specify exactly which tools each agent receives.

Yes. An agent equipped with the create_task tool will generate new items whenever its instructions dictate. It handles the JSON formatting and API execution entirely on its own.

Agents pass context through shared memory during sequential or hierarchical execution. If Agent A runs list_project_tasks, Agent B can read those results and decide which items need updating.

You can easily filter tools by role. Give list_task_messages to a researcher agent while restricting create_project to a manager agent. This prevents junior agents from making unauthorized structural changes.

Vinkius executes all tool calls inside a zero-trust sandbox. When your agents pull sensitive rosters via list_team_users, the connection drops immediately after the data returns, leaving no persistent access.

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