How to Use the Widen (Acquia DAM) MCP in OpenAI Agents SDK
Manage Widen assets and metadata reliably using the OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Widen (Acquia DAM) MCP to OpenAI Agents SDK
Create your Vinkius account to connect Widen (Acquia DAM) to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Update asset details with granular control.
Use `update_asset_metadata` to change specific fields on an existing asset. You pass the asset ID along with a JSON object that maps exactly which field keys need their values updated. This is crucial for maintaining data integrity across your production systems. It lets you modify only what needs changing without affecting other metadata.
Search Widen assets quickly.
The `search_widen_assets` tool finds content in Acquia DAM (Widen) using its internal search syntax. Give it a query string and get back the relevant asset results. This lets your agent narrow down millions of files, making sure you only act on assets that match the required criteria.
Permanently delete media assets.
The `delete_media_asset` action removes an asset from all collections. Be warned: this move is irreversible. Because it's a production agent system, you know exactly when and why you need to execute this hard deletion. It guarantees the cleanup of orphaned content.
Set up Widen (Acquia DAM) MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Widen (Acquia DAM) tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Widen (Acquia DAM) tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Widen (Acquia DAM) tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Widen (Acquia DAM) Agent",
instructions="You have access to Widen (Acquia DAM) tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) 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.
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Common questions about Widen (Acquia DAM) MCP in OpenAI Agents SDK
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