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 Pydantic AI 10 tools — connect in under 2 minutes

Name: Duda
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Duda through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Duda "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Duda?"
    )
    print(result.data)

asyncio.run(main())

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V8 IsolateSandboxed

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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.

Pydantic AI validates every Duda tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Duda MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Duda with type-safe schemas

Why Use Pydantic AI with the Duda MCP Server

Pydantic AI provides unique advantages when paired with Duda through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Duda integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Duda connection logic from agent behavior for testable, maintainable code

Duda + Pydantic AI Use Cases

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

Type-safe data pipelines: query Duda with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Duda tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Duda and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Duda responses and write comprehensive agent tests

Duda MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Duda to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Duda + Pydantic AI FAQ

Common questions about integrating Duda MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Duda MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.