How to Use the Brandfolder MCP in LlamaIndex

Q: How do I index Brandfolder content in LlamaIndex?

Use the llama-index-tools-mcp package to connect. Once you map the tools to your agent, you can ingest asset data directly into your vector index.

Q: Can LlamaIndex query my Brandfolder tags?

It can. The listassettags tool provides the structural data needed to filter your index by specific categories or descriptors.

Q: Can I filter which Brandfolder tools LlamaIndex uses?

You can. The allowedtools filter lets you restrict the agent to only specific functions like searching or reading asset metadata.

Index your Brandfolder assets into searchable knowledge bases with LlamaIndex.

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Connect Brandfolder MCP to LlamaIndex

Create your Vinkius account to connect Brandfolder to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Brandfolder with LlamaIndex

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Index Brandfolder data in LlamaIndex

Pipe the output of `get_collection_assets` into your vector store. This turns your static asset library into a queryable knowledge source for your agents. It stops your agent from hallucinating about files. Every answer it gives is grounded in the actual metadata returned by the server.

Retrieve CDN delivery URLs

Call `list_asset_attachments` to get direct access to your files. This provides the exact paths needed for your RAG pipeline to reference specific images or docs. It makes your index more useful. The agent can now provide actual links alongside its textual analysis.

Automate asset cleanup via MCP Server

Use `wipe_media_asset` to purge outdated files from your workspace. This keeps your index lean and prevents the agent from referencing stale content. It gives your agent control over the asset lifecycle. You define the rules for deletion, and the agent executes them.

Setup guide

Set up Brandfolder MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Brandfolder MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Brandfolder tools.",
)
response = await agent.run("List recent Brandfolder data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Brandfolder. 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 Brandfolder MCP in LlamaIndex

Use the `llama-index-tools-mcp` package to connect. Once you map the tools to your agent, you can ingest asset data directly into your vector index.

It can. The `list_asset_tags` tool provides the structural data needed to filter your index by specific categories or descriptors.

Your asset lists and CDN links are transmitted over encrypted channels. Vinkius ensures that only your unique session token can trigger these requests.

It does. You can use the search tools to narrow down your asset retrieval before passing the results to your LlamaIndex workflow.

You can. The allowed_tools filter lets you restrict the agent to only specific functions like searching or reading asset metadata.

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