Pydantic AISDK

FileStack MCP Server

Bring File Upload
to Pydantic AI

Name: FileStack MCP Server
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

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

GDPR Free for Subscribers

Generate Transform UrlGet Image TagsGet MetadataGet OcrGet Sfw StatusGet Video StatusStart Video TranscodeUpload From Url

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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

Subscribe to this server
Enter your Filestack API Key (and optional Policy/Signature for security)
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 Pydantic AI?

Pydantic AI validates every FileStack tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

—
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
—
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your FileStack integration code
—
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
—
Dependency injection system cleanly separates your FileStack connection logic from agent behavior for testable, maintainable code

See it in action

FileStack in Pydantic AI

AI Agent→Vinkius

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 Pydantic AI 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 catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for Pydantic AI →

Enterprise Security

Why teams choose Vinkius for FileStack in Pydantic AI

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 Pydantic AI 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.

Unlock for AI Agents View full FileStack details →

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 Pydantic AI

Every tool call from Pydantic AI 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

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.

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.

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.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your FileStack MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.