How to Use the Sunsama MCP in CrewAI

Q: How can I use CrewAI to manage multiple tasks in Sunsama?

The team runs listtasks, allowing you to filter by date and gather all relevant items. They then assign agents to execute gettaskdetails on specific tasks for review.

Q: Does CrewAI help with task creation in Sunsama?

Absolutely. Agents can use createtask, ensuring new work is logged and assigned immediately, complete with text descriptions and planned due dates.

Q: What if I need to confirm the scope of my multi-project Sunsama workflow using CrewAI?

You run listcontexts. This reveals every available workspace zone. Before running any action, the team confirms the proper context is selected.

Q: Is deleting tasks in Sunsama safe with CrewAI?

It uses the deletetask function, which permanently removes an item. The crew should always verify the task ID before letting this agent run to prevent data loss.

Build autonomous teams that manage your entire Sunsama workflow using CrewAI.

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Setup Sunsama with CrewAI

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Autonomous task creation and modification.

Assign agents to run `create_task` when a new piece of work is identified. The system can accept both text descriptions and specific planned dates. The crew can also use `update_task` if the project requirements shift, adjusting deadlines or owners automatically.

Gathering insights on tasks and user status.

One agent can run `list_tasks`, filtering by date to compile a full report of pending items. Another agent uses `get_task_details` when specific follow-up information is required. The team also accesses the current worker's details via `get_user_profile` for ownership checks.

Mapping out Sunsama’s operational scope.

A specialized agent uses `list_contexts` to map all available work zones, ensuring tasks are routed correctly. Similarly, `list_channels` provides a necessary overview of the entire platform's organizational structure. This gives the crew full visibility into how Sunsama is set up.

Setup guide

Set up Sunsama 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 Sunsama tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

The team runs `list_tasks`, allowing you to filter by date and gather all relevant items. They then assign agents to execute `get_task_details` on specific tasks for review.

Absolutely. Agents can use `create_task`, ensuring new work is logged and assigned immediately, complete with text descriptions and planned due dates.

You run `list_contexts`. This reveals every available workspace zone. Before running any action, the team confirms the proper context is selected.

It uses the `delete_task` function, which permanently removes an item. The crew should always verify the task ID before letting this agent run to prevent data loss.

This server touches core productivity data: tasks (text/dates), user profiles, available channels, and project contexts.

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