How to Use the Brandfolder MCP in CrewAI
Deploy autonomous CrewAI agent teams to organize, audit, and clean your Brandfolder assets without manual intervention.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Brandfolder MCP to CrewAI
Create your Vinkius account to connect Brandfolder to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Coordinate multi-agent Brandfolder audits with CrewAI
The `get_brandfolder_assets` tool searches and retrieves files from specific folders so your research agent can analyze them. This agent passes the file list to an editor agent to check for outdated branding. Because CrewAI agents share memory, they track which assets they have already inspected during a run. This MCP integration avoids duplicate API calls and speeds up your overall library audit process.
Automate asset tagging using specialized MCP Server roles
The `list_asset_tags` tool exposes the structural metadata of your media assets to a specialized tagging agent. This agent compares current tags with your corporate brand guidelines to identify discrepancies. If your agent finds a mismatch, it passes the asset ID to a writer agent. That writer agent then uses other tools to correct the tags, keeping your library organized without human clicks.
Inspect global workspaces across multiple organizations
The `list_platform_organizations` tool retrieves all top-level tenant organizations accessible by your API key. This lets a manager agent map out your entire enterprise footprint before assigning tasks to sub-agents. The crew navigates between separate business units to run compliance checks. Your agents handle the transition between different organizational folders autonomously based on the structure returned.
Set up Brandfolder MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Brandfolder tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Brandfolder Analyst",
goal="Access and analyze Brandfolder data via MCP.",
backstory="Expert analyst with direct Brandfolder access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Brandfolder transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Brandfolder Analyst",
goal="Access and analyze Brandfolder data via MCP.",
backstory="Expert analyst with direct Brandfolder access.",
tools=mcp_tools,
)
task = Task(
description="List recent Brandfolder transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) 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 CrewAI
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