How to Use the FileStack MCP in CrewAI

Q: How do I connect FileStack to a CrewAI agent?

Pass the Vinkius HTTP endpoint directly into the agent's mcps array. For advanced configurations, use MCPServerHTTP from crewai.mcp to filter which tools are exposed to specific agents.

Q: Can I restrict which CrewAI agents can use FileStack transformation tools?

Yes, you can use CrewAI's tool filtering to assign generatetransformurl to your design agent while keeping the moderation tools restricted to your safety agent.

Q: How does CrewAI manage long FileStack video transcodes?

Your crew's coordinator agent starts the process using startvideotranscode and delegates the tracking task to a monitor agent. The monitor agent queries getvideostatus in the background, allowing other agents to continue their work.

Q: What python packages are required for this integration?

You need to run pip install crewai "crewaitools" to enable MCP client capabilities within your Python environment.

Deploy specialized AI crews to analyze, moderate, and transcode FileStack media assets autonomously using CrewAI.

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Connect FileStack MCP to CrewAI

Create your Vinkius account to connect FileStack 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 FileStack with CrewAI

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Multi-agent document processing with CrewAI

The `get_ocr` tool extracts text from raw documents and passes the data to your specialized CrewAI agents. A researcher agent uses the tool to pull raw text, an analyst agent parses the financial data, and a writer agent drafts an executive summary. This division of labor matches human workflows. Because CrewAI supports shared memory, the OCR output remains accessible across the entire crew. You get a coordinated document processing pipeline that doesn't require manual file cutting.

Autonomous image moderation crews

The `get_sfw_status` tool provides instant safety ratings that your CrewAI moderator agent can act on immediately. While the moderator agent screens the files, a separate tagging agent runs `get_image_tags` to categorize approved visual assets. This parallel execution speeds up media ingestion. If the safety check fails, the moderator agent escalates the issue to a human reviewer, keeping unsafe content out of your public feed.

Coordinated media transformation via MCP Server

The `upload_from_url` tool lets your CrewAI agents ingest external files before running downstream transformations. An asset agent pulls images from web sources and uses `generate_transform_url` to prep them for different social media channels. This autonomous crew handles the entire creative production pipeline. From raw URL ingestion to final CDN URL generation, your agents coordinate the tasks without human intervention.

Setup guide

Set up FileStack 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 FileStack tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent FileStack 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="FileStack Analyst",
        goal="Access and analyze FileStack data via MCP.",
        backstory="Expert analyst with direct FileStack access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent FileStack 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 Filestack. 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 FileStack MCP in CrewAI

Pass the Vinkius HTTP endpoint directly into the agent's `mcps` array. For advanced configurations, use `MCPServerHTTP` from `crewai.mcp` to filter which tools are exposed to specific agents.

Yes, you can use CrewAI's tool filtering to assign `generate_transform_url` to your design agent while keeping the moderation tools restricted to your safety agent.

Your crew's coordinator agent starts the process using `start_video_transcode` and delegates the tracking task to a monitor agent. The monitor agent queries `get_video_status` in the background, allowing other agents to continue their work.

You need to run `pip install crewai "crewai[tools]"` to enable MCP client capabilities within your Python environment.

No, all document, image, and video data processed by the MCP Server is handled within the secure, ephemeral Vinkius sandbox. No files or extracted OCR data are stored permanently or shared with third parties.

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