How do I get Duda API credentials?

Log in to your Duda account, navigate to the **Developer Portal**, and you can generate your unique API Username and API Password from the **API Credentials** section.

Can the agent publish my sites?

This integration currently focuses on listing and auditing sites, templates, and accounts. Triggering a live publication should be managed via the Duda editor or your custom dashboard.

Does the integration support white-label settings?

Yes, you can use the get_site_details or get_client_account_profile tools to retrieve information about your white-labeled sites and client configurations.

Duda MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Duda
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Duda through Vinkius, pass the Edge URL in the `mcps` parameter and every Duda tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Duda Specialist",
    goal="Help users interact with Duda effectively",
    backstory=(
        "You are an expert at leveraging Duda tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Duda "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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High SecurityEnterprise-grade

IAMAccess control

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DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Duda MCP Server

Integrate Duda, the professional website builder for agencies and SaaS, directly into your AI workflow. Manage your fleet of websites and their publishing statuses, track available site templates, monitor client accounts and permissions, and oversee dynamic data collections using natural language.

When paired with CrewAI, Duda becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Duda tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Website Oversight — List and retrieve detailed configuration and real-time status for all your Duda websites and domains.
Template Intelligence — Access the Duda template library to monitor available designs and structural organizational identifiers.
Client Management — Track client account profiles, email addresses, and individual permissions across your organization.
Collection Monitoring — List dynamic data collections associated with specific sites to ensure efficient content management.

The Duda MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Duda to CrewAI via MCP

Follow these steps to integrate the Duda MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Duda

Why Use CrewAI with the Duda MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Duda through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Duda + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Duda MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Duda for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Duda, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Duda tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Duda against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Duda MCP Tools for CrewAI (10)

These 10 tools become available when you connect Duda to CrewAI via MCP:

get_client_account_profile

Get full profile and permission data for a specific client account

get_site_details

Get detailed settings and information for a specific Duda site

get_template_details

Get detailed information for a specific Duda template

list_client_accounts

List all client accounts registered in your Duda organization

list_duda_sites

List all websites configured in your Duda account

list_published_websites

Identify sites that are currently in a "Published" status

list_site_collections

List all dynamic data collections associated with a specific site

list_site_templates

List all available Duda website templates

quick_site_health_audit

Retrieve a high-level summary of site activity and publishing rates

search_sites_by_domain

Search for a Duda site using a domain or name keyword

Example Prompts for Duda in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Duda immediately.

"List all my published Duda sites."

"Show me the details for site 'site_12345'."

"Which client accounts have permission to 'Manage Blog'?"

Troubleshooting Duda MCP Server with CrewAI

Common issues when connecting Duda to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Duda + CrewAI FAQ

Common questions about integrating Duda MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.