How to Use the UnifyApps MCP in CrewAI

Q: How do I check flow history using UnifyApps and CrewAI?

You call the listflowexecutions tool. This gives your crew a shared memory of past actions, which is essential for autonomous operations that need to avoid repeating mistakes.

Q: Does UnifyApps support listing all configured integrations with CrewAI?

Yes, use listintegrations. The agent team needs this full inventory to ensure they have access to every required service when executing a workflow.

Q: What kind of credentials does this MCP Server touch for UnifyApps and CrewAI?

The server touches connection details. Specifically, listactiveconnections allows your crew's monitoring agent to verify the current status of account connections before proceeding.

Q: Can I list all defined automation workflows using UnifyApps and CrewAI?

You use listautomationflows. This tool provides every playbook definition, allowing your multi-agent team to select the appropriate operational sequence for any task.

Q: If I need to check agent setup details, which MCP Server function do I use with UnifyApps and CrewAI?

You run listaiagents. This queries the entire UnifyApps environment and gives you a list of all available specialized agents ready for collaboration.

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Monitor Workflow Status via MCP Server

The `list_flow_executions` tool gives a log of recent runs. Your crew can monitor these logs to determine if the previous agent's action was successful or if escalation is needed. Furthermore, `list_automation_flows` provides all flow definitions, allowing your autonomous operations team to select the correct operational playbook for the job.

Audit Connections on the Fly

To check which accounts are ready for action, use `list_active_connections`. This gives the specialized agents a real-time view of available credentials. For full visibility, `list_integrations` lists every configured service in UnifyApps. A moderator agent can quickly audit these to ensure no services were forgotten.

Discover Agent and Integration Details

The core of the crew is managed by `list_ai_agents`, which provides a list of all specialized agents in UnifyApps. This lets your monitor agent confirm that every role needed for the task exists. If an agent needs to know about a specific tool, calling `get_integration_details` supplies those necessary operational parameters.

Setup guide

Set up UnifyApps 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 UnifyApps tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You call the `list_flow_executions` tool. This gives your crew a shared memory of past actions, which is essential for autonomous operations that need to avoid repeating mistakes.

Yes, use `list_integrations`. The agent team needs this full inventory to ensure they have access to every required service when executing a workflow.

The server touches connection details. Specifically, `list_active_connections` allows your crew's monitoring agent to verify the current status of account connections before proceeding.

You use `list_automation_flows`. This tool provides every playbook definition, allowing your multi-agent team to select the appropriate operational sequence for any task.

You run `list_ai_agents`. This queries the entire UnifyApps environment and gives you a list of all available specialized agents ready for collaboration.

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