How to Use the MediaSilo MCP in CrewAI

Q: Can I limit which MediaSilo tools a CrewAI agent can use?

Yes. You can use the toolfilter option with MCPServerHTTP to restrict an agent to harmless read tools like listassets while blocking access to user management.

Q: How do I connect my CrewAI team to the MediaSilo MCP Server?

Pass the server URL directly into your Agent's mcps array parameter. The framework handles the connection and exposes the asset management tools to the crew.

Q: What is the best way to handle large folders in CrewAI?

Direct your agent to use listfolders first to narrow the scope. This prevents the crew from hitting token limits by pulling thousands of assets via listassets all at once.

Deploy specialized agent teams to manage your MediaSilo library using CrewAI.

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Connect MediaSilo MCP to CrewAI

Create your Vinkius account to connect MediaSilo 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.

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Setup MediaSilo with CrewAI

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Perplexity

Coordinate video audits with CrewAI agent teams

One agent can't manage an entire post-production pipeline alone. This MCP Server setup lets you set up a crew where a researcher agent uses `list_projects` and `list_folders` to map out your storage. A second agent analyzes the results by calling `get_project_assets` to spot duplicates or untagged videos. They work in parallel, sharing memory to avoid redundant API calls.

Automate review link monitoring and escalation

Keep your client feedback loops moving without constant supervision. A monitoring agent can check active shares using `list_quicklinks` and inspect details with `get_quicklink`. If a review link is set to expire soon, the agent can flag it or generate a fresh one. This keeps external reviewers from hitting dead ends.

Multi-agent search and metadata enrichment

Finding assets across multiple workspaces can slow down any editor. Use this MCP Server to let a coordinator agent search across folders using `search_assets` and `get_asset`. The coordinator passes the results to a writer agent, who compiles clean production reports. This handoff happens autonomously, keeping your team out of the folder weeds.

Setup guide

Set up MediaSilo MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. 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 Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke MediaSilo tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="MediaSilo Analyst",
    goal="Access and analyze MediaSilo data via MCP.",
    backstory="Expert analyst with direct MediaSilo access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent MediaSilo transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="MediaSilo Analyst",
        goal="Access and analyze MediaSilo data via MCP.",
        backstory="Expert analyst with direct MediaSilo access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent MediaSilo transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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

They use shared memory. When one agent finds a project using `list_projects`, other agents in the crew instantly access that project ID to call `get_project_assets`.

Yes. You can use the `tool_filter` option with `MCPServerHTTP` to restrict an agent to harmless read tools like `list_assets` while blocking access to user management.

Pass the server URL directly into your Agent's `mcps` array parameter. The framework handles the connection and exposes the asset management tools to the crew.

Direct your agent to use `list_folders` first to narrow the scope. This prevents the crew from hitting token limits by pulling thousands of assets via `list_assets` all at once.

All API calls run through a secure endpoint token inside an ephemeral MCP sandbox. Your raw video files, user emails, and folder trees are never stored or exposed to external networks.

Use it with your favorite AI tools

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