How to Use the Workato MCP in CrewAI

Q: How do I check job status with Workato and CrewAI?

You call listrecipejobs to get recent execution jobs. The crew can then assign a moderator agent to watch these results, reporting failures or successes across the team.

Q: What automation recipes does Workato provide for CrewAI?

The listautomationrecipes tool lists all available recipes in your Workato account. This gives your crew a full understanding of potential tasks they can tackle autonomously.

Q: Can I list managed connectors with Workato and CrewAI?

Absolutely. listmanagedconnectors lets you see every available connector in the tenant. This ensures your agents don't try to use services that aren't properly integrated.

Q: Does Workato provide folder listing for CrewAI?

The listworkatofolders tool lists all organizational folders, helping the crew map out where different types of recipes are stored. It keeps your autonomous operations organized.

Build autonomous operations for your crew with CrewAI's specialized agents.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Workato MCP to CrewAI

Create your Vinkius account to connect Workato 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.

GDPR Free for Subscribers

Setup Workato with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

List and inspect Workato automation recipes.

A core tool is `list_automation_recipes`, which gives your agent a full inventory of existing workflows. This allows the crew to assign specific tasks based on documented capabilities. The ability to see everything in one place keeps the autonomous operations running smoothly, without manual checks.

Audit all app connections with MCP Server.

Before any agent acts, it needs credentials. Use `list_app_connections` to show your crew exactly what applications are connected and ready for use. This prevents the agents from failing due to missing access. Your multi-agent system relies on knowing its boundaries; this tool defines them.

Get specific recipe run details.

Need to know why Agent B failed? The `get_recipe_details` tool lets you retrieve deep information for a single work flow. This detail can be fed back into the crew's memory, allowing another agent to correct the course. It turns simple failure reporting into actionable intelligence.

Setup guide

Set up Workato 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 Workato tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Workato 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 Workato. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Workato now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Workato MCP in CrewAI

You call `list_recipe_jobs` to get recent execution jobs. The crew can then assign a moderator agent to watch these results, reporting failures or successes across the team.

The `list_automation_recipes` tool lists all available recipes in your Workato account. This gives your crew a full understanding of potential tasks they can tackle autonomously.

Absolutely. `list_managed_connectors` lets you see every available connector in the tenant. This ensures your agents don't try to use services that aren't properly integrated.

The `list_workato_folders` tool lists all organizational folders, helping the crew map out where different types of recipes are stored. It keeps your autonomous operations organized.

This server touches information about application connections and recipe structures. You can use `list_app_connections` to see the configured app connections.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript