How to Use the Relay Workflow Automation MCP in CrewAI

Q: Is it possible to automate error recovery in CrewAI using Relay Workflow Automation?

You can. If an agent detects a failed status from getrunstatus, it can trigger a corrective workflow to fix the issue automatically.

Deploy autonomous CrewAI teams that execute and manage Relay workflows without human intervention.

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Connect Relay Workflow Automation MCP to CrewAI

Create your Vinkius account to connect Relay Workflow Automation to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Relay Workflow Automation with CrewAI

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CrewAI autonomous workflow execution

Assign a dedicated agent in your crew to handle `run_workflow` tasks. The agent evaluates the requirements and triggers the right automation at the right time. This lets your crew handle operational tasks like provisioning or data syncing while you focus on the higher-level strategy.

Monitor Relay runs with CrewAI

Use `list_runs` to have a monitor agent check for successful completions. If something stalls, the agent can use `get_run_status` to see exactly where the bottleneck is. It’s a closed-loop system. Your agents stay aware of the environment and react to changes as they happen.

Selective tool exposure for crews

Filter the tools so only specific agents can access `cancel_run` or `run_workflow`. This keeps your crew focused and prevents unauthorized actions. You define the boundaries. The MCP Server provides the tools, and you control who gets to use them.

Setup guide

Set up Relay Workflow Automation 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 Relay Workflow Automation tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Relay Workflow Automation 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 →

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Common questions about Relay Workflow Automation MCP in CrewAI

Pass the server URL into your Agent configuration. Once added, your crew can access `run_workflow`, `list_workflows`, and other tools as part of their standard toolkit.

Yes. You can share the tool across your entire crew. Each agent can call the Relay API based on its assigned role and expertise.

The output is returned directly to the agent that called the tool. The agent can then parse that data and decide on the next step in the sequence.

You can. If an agent detects a failed status from `get_run_status`, it can trigger a corrective workflow to fix the issue automatically.

The server uses a unique endpoint token for every session. Your workflow definitions and execution records are isolated from other users in the Vinkius sandbox.

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