Widen (Acquia DAM) MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Widen (Acquia DAM) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"widen-acquia-dam": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Widen (Acquia DAM), show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Widen (Acquia DAM) through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Widen (Acquia DAM) MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Widen (Acquia DAM) via MCP
Why Use LangChain with the Widen (Acquia DAM) MCP Server
LangChain provides unique advantages when paired with Widen (Acquia DAM) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Widen (Acquia DAM) MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Widen (Acquia DAM) queries for multi-turn workflows
Widen (Acquia DAM) + LangChain Use Cases
Practical scenarios where LangChain combined with the Widen (Acquia DAM) MCP Server delivers measurable value.
RAG with live data: combine Widen (Acquia DAM) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Widen (Acquia DAM), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Widen (Acquia DAM) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Widen (Acquia DAM) tool call, measure latency, and optimize your agent's performance
Widen (Acquia DAM) MCP Tools for LangChain (10)
These 10 tools become available when you connect Widen (Acquia DAM) to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Widen (Acquia DAM) to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersWiden (Acquia DAM) + LangChain FAQ
Common questions about integrating Widen (Acquia DAM) MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.