How to Use the Widen (Acquia DAM) MCP in AutoGen

Let AutoGen agents debate Widen (Acquia DAM) asset governance using multi-agent MCP Server communication.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Widen (Acquia DAM) MCP to AutoGen

Create your Vinkius account to connect Widen (Acquia DAM) to AutoGen 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 Widen (Acquia DAM) with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debating Asset Status with AutoGen

Set up multiple agents to challenge each other on asset deletion. One agent might check the CDN link count via `list_cdn_embed_links`, while another verifies if the asset is critical by checking its category contents (`get_category_contents`). The agents debate until consensus is reached: 'Is this asset safe to delete?' The final decision requires passing all checks, making it robust governance.

Consensus-Driven DAM Auditing with AutoGen MCP Server

You can run a simulated audit. One agent reviews the top-level categories (`list_global_categories`) for compliance gaps. A second agent reviews user permissions via `list_account_users`. They debate whether certain access levels are too broad or too narrow. The final, agreed-upon policy is delivered to you.

Complex Metadata Updates with AutoGen

Need a complex update? Have one agent gather the asset ID using `search_widen_assets`. A second agent retrieves all necessary context via `get_asset_details` (e.g., technical specs). The third agent then debates and formulates the final JSON payload for `update_asset_metadata`. The workflow only completes when all agents agree on the exact field mapping.

Setup guide

Set up Widen (Acquia DAM) MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Widen (Acquia DAM) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Widen (Acquia DAM)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Widen (Acquia DAM) data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Widen (Acquia DAM)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Widen (Acquia DAM) data")
    print(result.messages[-1].content)

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 Widen. 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 Widen (Acquia DAM) 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 Widen (Acquia DAM) MCP in AutoGen

AutoGen doesn't just run tools; it makes them debate. You can have agents argue about whether an asset should be archived or kept active by comparing its metadata against usage patterns.

Yes. You'll assign one agent the task of listing assets from a specific collection (`list_collection_assets`) and another agent the task of reviewing global categories (`list_global_categories`). They debate which structure is superior for organization.

The server touches asset metadata and user account details. With AutoGen, you can set up a dedicated 'Compliance Agent' whose sole job is to check that all required permissions are present before any action takes place.

You can set up a three-agent cycle: one finds the asset, a second checks its history/links (`list_cdn_embed_links`), and a third decides if it's ready for deletion via `delete_media_asset`.

You must verify that the agent successfully gathered all required context using `get_asset_details` before it is allowed to call `update_asset_metadata`. The debate ensures no critical field is missed.

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