Widen (Acquia DAM) MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Widen (Acquia DAM) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Widen (Acquia DAM) "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Widen (Acquia DAM)?"
)
print(result.data)
asyncio.run(main())
* 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 Widen (Acquia DAM) MCP Server
Connect your Widen (Acquia DAM) account to any AI agent and take control of your enterprise digital assets through natural conversation.
Pydantic AI validates every Widen (Acquia DAM) 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
- Asset Search — Find files instantly using Widen's internal search syntax (e.g., search by filename, category, or metadata)
- Metadata Management — Retrieve comprehensive technical properties and update metadata fields directly from your agent
- Folder Navigation — Browse top-level categories and explore contents within specific category nodes to understand your DAM hierarchy
- Collection Access — List user-defined asset collections and retrieve all files grouped within a specific collection ID
- CDN Integration — Retrieve active CDN embed links and HTML snippets for any asset to facilitate high-availability content delivery
- User Auditing — List authorized users and their account roles to monitor team access across the DAM instance
- Data Integrity — Safely delete obsolete media assets to manage storage and keep your content library clean
The Widen (Acquia DAM) 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 Widen (Acquia DAM) to Pydantic AI via MCP
Follow these steps to integrate the Widen (Acquia DAM) 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 Widen (Acquia DAM) with type-safe schemas
Why Use Pydantic AI with the Widen (Acquia DAM) MCP Server
Pydantic AI provides unique advantages when paired with Widen (Acquia DAM) 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 Widen (Acquia DAM) integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Widen (Acquia DAM) connection logic from agent behavior for testable, maintainable code
Widen (Acquia DAM) + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Widen (Acquia DAM) MCP Server delivers measurable value.
Type-safe data pipelines: query Widen (Acquia DAM) with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Widen (Acquia DAM) tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Widen (Acquia DAM) and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Widen (Acquia DAM) responses and write comprehensive agent tests
Widen (Acquia DAM) MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Widen (Acquia DAM) to Pydantic AI via MCP:
delete_media_asset
This action is irreversible and removes the asset from all collections. Permanently removes an asset from the Acquia DAM
get_asset_details
Retrieves comprehensive metadata and technical properties for a specific asset
get_category_contents
Retrieves the assets and sub-nodes within a specific category
list_account_users
Lists all authorized users in the Acquia DAM instance
list_cdn_embed_links
Retrieves all active CDN embed links and HTML snippets for a specific asset
list_collection_assets
Lists all assets contained within a specific user collection
list_global_categories
Lists all top-level categories (folders) in the DAM hierarchy
list_saved_collections
Lists all user-defined asset collections
search_widen_assets
Provide a search query string. Search for assets in Acquia DAM (Widen) using the internal search syntax
update_asset_metadata
Provide the asset ID and a JSON object mapping field keys to values. Updates the metadata fields of an existing asset
Example Prompts for Widen (Acquia DAM) in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Widen (Acquia DAM) immediately.
"Search for assets with 'marketing' in the category and 'banner' in the filename."
"Get the CDN embed links for asset ID 'wid-101'."
"List all global categories in our Widen DAM."
Troubleshooting Widen (Acquia DAM) MCP Server with Pydantic AI
Common issues when connecting Widen (Acquia DAM) to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiWiden (Acquia DAM) + Pydantic AI FAQ
Common questions about integrating Widen (Acquia DAM) MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect Widen (Acquia DAM) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Widen (Acquia DAM) to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.