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Vinkius
CrewAIFramework
FileStack MCP Server

Bring File Upload
to CrewAI

Learn how to connect FileStack to CrewAI and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Generate Transform UrlGet Image TagsGet MetadataGet OcrGet Sfw StatusGet Video StatusStart Video TranscodeUpload From Url

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
FileStack

What is the FileStack MCP Server?

Connect your Filestack account to any AI agent to handle complex file workflows, from cloud uploads to advanced AI content analysis, through simple commands.

What you can do

  • Smart Uploads — Upload files directly from any public URL to your Filestack S3 storage using upload_from_url.
  • AI Intelligence — Automatically extract text from documents (get_ocr), detect objects and features in images (get_image_tags), and check for unsafe content (get_sfw_status).
  • Image Transformations — Generate optimized CDN URLs for resizing, blurring, or filtering images using generate_transform_url without manual editing.
  • Video Processing — Initiate and monitor asynchronous video transcoding jobs (start_video_transcode) to convert files into web-ready formats like MP4 or HLS.
  • Metadata Inspection — Retrieve deep technical details including dimensions, mime types, and file sizes with get_metadata.

How it works

  1. Subscribe to this server
  2. Enter your Filestack API Key (and optional Policy/Signature for security)
  3. Start processing assets directly from Claude, Cursor, or any MCP client

Who is this for?

  • Developers — Automate asset pipelines and generate transformation URLs directly from the code editor.
  • Content Moderators — Use AI to automatically flag unsafe images or tag visual assets at scale.
  • Data Engineers — Extract structured text from scanned documents and images using OCR for downstream processing.

Built-in capabilities (8)

generate_transform_url

g., resize=width:400). Does not execute the request, just returns the URL. Generate a Filestack transformation URL

get_image_tags

Detect objects and features in an image

get_metadata

Get metadata for a Filestack file

get_ocr

Extract printed or handwritten text (OCR)

get_sfw_status

Detect unsafe content (Safe for Work)

get_video_status

Poll status of a video transcoding job

start_video_transcode

Returns a UUID that must be used to poll for status. Start asynchronous video/audio transcoding

upload_from_url

Upload a file to Filestack from a public URL

Why CrewAI?

When paired with CrewAI, FileStack becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call FileStack tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

  • Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

  • CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the mcps parameter and agents auto-discover every available tool at runtime

  • Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

  • Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

See it in action

FileStack in CrewAI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

FileStack and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect FileStack to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for FileStack in CrewAI

The FileStack MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 8 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

FileStack
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

The Vinkius Advantage

How Vinkius secures FileStack for CrewAI

Every tool call from CrewAI to the FileStack MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

How can I extract text from a scanned document or image?

Use the get_ocr tool with the file handle. The AI will perform Optical Character Recognition and return the extracted text along with its coordinates.

02

Is there a way to check if an uploaded image contains adult or unsafe content?

Yes, the get_sfw_status tool uses Filestack Intelligence to analyze the image and return a safety score, helping you moderate content automatically.

03

Can I resize an image without actually downloading and re-uploading it?

Absolutely. Use generate_transform_url to create a specific CDN URL with tasks like resize=width:400. This allows the Filestack CDN to handle the transformation on the fly.

04

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

05

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

06

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

07

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

08

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

09

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

10

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

11

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

12

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

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