How to Use the Widen (Acquia DAM) MCP in Pydantic AI

Q: How do I search for assets using Widen (Acquia DAM) with Pydantic AI?

Call searchwidenassets and pass your query string. The returned list of matching assets is validated against a schema, ensuring you trust the data.

Q: What tool lets me get detailed metadata for an asset using Widen (Acquia DAM) with Pydantic AI?

You use getassetdetails. This retrieves all technical properties and comprehensive metadata, and because of the framework, you know the resulting data is correct.

Q: How can I list available asset collections in Widen (Acquia DAM) with Pydantic AI?

Run listsavedcollections to get a list of user-defined collections. The output is strictly typed, so you don't have to worry about malformed JSON.

Q: Does this MCP Server handle metadata updates when using Widen (Acquia DAM) with Pydantic AI?

Yes, updateassetmetadata allows field-by-field updating of asset data. The validation process ensures that the structure of the update payload is correct.

Get validated Widen asset data with the Pydantic AI framework.

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Connect Widen (Acquia DAM) MCP to Pydantic AI

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Setup Widen (Acquia DAM) with Pydantic AI

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Perplexity

Pull precise technical details about any asset.

Use `get_asset_details` to pull comprehensive metadata and technical properties for a specific asset ID. The response is guaranteed to match your Pydantic model structure. If the API returns unexpected data, the agent fails loudly with a validation error—you don't get silent corruption.

Search Widen assets and list top-level folders.

You can run `search_widen_assets` to query files in Acquia DAM (Widen) using internal syntax. Separately, `list_global_categories` provides a structured list of all root folders. Because everything is validated against Pydantic models, you'll get perfectly typed results for both search and directory listings.

Check contents of user collections or folders.

Run `list_collection_assets` to list files in a specific user collection. Alternatively, use `get_category_contents` to see the assets grouped within a defined category structure. Both tools provide asset lists whose schema is rigorously checked at runtime.

Setup guide

Set up Widen (Acquia DAM) MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "widen-acquia-dam-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Widen (Acquia DAM) tools.",
)

result = await agent.run("List recent Widen (Acquia DAM) transactions")
print(result.output)

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Common questions about Widen (Acquia DAM) MCP in Pydantic AI

Call `search_widen_assets` and pass your query string. The returned list of matching assets is validated against a schema, ensuring you trust the data.

You use `get_asset_details`. This retrieves all technical properties and comprehensive metadata, and because of the framework, you know the resulting data is correct.

Run `list_saved_collections` to get a list of user-defined collections. The output is strictly typed, so you don't have to worry about malformed JSON.

Yes, `update_asset_metadata` allows field-by-field updating of asset data. The validation process ensures that the structure of the update payload is correct.

It handles metadata fields, specific asset IDs, collection names, and category structures, all validated to ensure high correctness.

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