How to Use the Tray.io MCP in CrewAI

Q: Can CrewAI list all workflows in Tray.io?

Yes. The listworkflows tool allows your crew's monitor agent to pull a complete roster of every automation defined across the account within Tray.io.

Q: What data type does CrewAI touch regarding privacy?

CrewAI accesses user details through the getauthenticateduser tool. This retrieves basic account information needed for specialized agents to operate within the correct user context in Tray.io.

Q: Does the MCP Server allow CrewAI to check execution history?

Absolutely. You use listworkflowexecutions. This tool provides a log of recent runs, letting your crew monitor the performance and status of automations running on Tray.io.

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Connect Tray.io MCP to CrewAI

Create your Vinkius account to connect Tray.io 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 Tray.io with CrewAI

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Identify the team's operational context

Give your agent a starting point using `get_authenticated_user`. This pulls the current user's details, letting the specialized crew know exactly who they are talking to. It keeps all tasks targeted and relevant. The initial identity check ensures that every action taken by the collaborating agents is tied back to the correct account context within Tray.io.

Scope out available automations

Before starting a task, you need full context. Run `list_workflows` to see every automation defined in your Tray.io account. This gives the crew a complete map of potential operations. For structuring responses, check `list_integration_solutions`. These solutions provide ready-made ways for the agents to collaborate and execute complex tasks.

Analyze run history step by step

If a task goes sideways, you need visibility. Call `list_workflow_executions` to track the history of recent runs across Tray.io. This provides immediate debugging information. You can also dig into details using `get_workflow_details` for precise step-by-step analysis, letting your monitor agent pinpoint exactly where a process broke down.

Setup guide

Set up Tray.io 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 Tray.io tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

CrewAI exposes the available tools to its specialized agents. When an agent needs data—say, checking a connector list—it calls the tool via the MCP Server, getting real-time results from Tray.io.

Yes. The `list_workflows` tool allows your crew's monitor agent to pull a complete roster of every automation defined across the account within Tray.io.

The tools allow specialized agents to collaborate autonomously. For example, one agent can use `list_available_connectors` while another uses that list to build a connection template.

CrewAI accesses user details through the `get_authenticated_user` tool. This retrieves basic account information needed for specialized agents to operate within the correct user context in Tray.io.

Absolutely. You use `list_workflow_executions`. This tool provides a log of recent runs, letting your crew monitor the performance and status of automations running on Tray.io.

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