How to Use the Duda MCP in CrewAI

Q: Can CrewAI agents perform a Duda site audit?

Yes, you assign the quicksitehealthaudit tool to your site-monitoring agent. The agent will run the audit on the target sites and report the findings back to the crew. You can then use those findings to trigger further actions.

Q: How do I search for a Duda domain in CrewAI?

You include the searchsitesbydomain tool in your agent's definition. When you provide a domain, the agent runs the search and returns the site info to the crew. It is a simple, direct lookup for your agents.

Deploy a crew of specialized AI agents to monitor and manage Duda websites and client accounts.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Duda MCP to CrewAI

Create your Vinkius account to connect Duda 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 Duda with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Autonomous Duda monitoring with CrewAI

Assign a monitor agent to watch your sites using `quick_site_health_audit`. While the monitor tracks status, a second agent can use `get_site_details` to gather info on any site that flags an alert. Your crew works in tandem to keep your portfolio healthy. It removes the need for you to check dashboards manually.

Role-based site management for CrewAI

Create specialized agents for different tasks like site audits or template management. One agent can focus on `list_site_templates` while another handles `list_site_collections` for specific client projects. They share context so that the agent taking action knows exactly what the researcher found. This hierarchical structure makes managing large numbers of sites efficient.

Client account oversight with CrewAI

Let your agents manage client relationships by tracking account profiles. An agent can list all accounts with `list_client_accounts` and then verify details using `get_client_account_profile`. It ensures your crew always has current data before they perform any escalation. You define the rules and the crew follows them.

Setup guide

Set up Duda 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 Duda tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You pass the server URL to your agent's MCP configuration in your CrewAI setup. The agents will then gain access to all ten site and client tools. You can restrict access by using tool filters for specific agents.

Yes, you assign the `quick_site_health_audit` tool to your site-monitoring agent. The agent will run the audit on the target sites and report the findings back to the crew. You can then use those findings to trigger further actions.

Your site and account information is processed internally by your agent crew. The MCP Server only transmits data between the API and your agents, with no logging or storage of your client details. You maintain full control over the environment.

You can organize your agents into a manager-worker hierarchy where the manager assigns site tasks to workers. The workers use tools like `list_duda_sites` to perform the work, and the manager reviews the results. It is ideal for complex operations.

You include the `search_sites_by_domain` tool in your agent's definition. When you provide a domain, the agent runs the search and returns the site info to the crew. It is a simple, direct lookup for your agents.

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