FileStack MCP Server for Pydantic AIGive Pydantic AI instant access to 8 tools to Generate Transform Url, Get Image Tags, Get Metadata, and more

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

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect FileStack through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The FileStack MCP Server for Pydantic AI is a standout in the Image Video category — giving your AI agent 8 tools to work with, ready to go from day one.

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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to FileStack "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in FileStack?"
    )
    print(result.data)

asyncio.run(main())

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* 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

About 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.

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.

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.

The FileStack MCP Server exposes 8 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 8 FileStack tools available for Pydantic AI

When Pydantic AI connects to FileStack through Vinkius, your AI agent gets direct access to every tool listed below — spanning file-upload, image-processing, ocr, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

generate

Generate transform url on FileStack

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

get

Get image tags on FileStack

Detect objects and features in an image

get

Get metadata on FileStack

Get metadata for a Filestack file

get

Get ocr on FileStack

Extract printed or handwritten text (OCR)

get

Get sfw status on FileStack

Detect unsafe content (Safe for Work)

get

Get video status on FileStack

Poll status of a video transcoding job

start

Start video transcode on FileStack

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

upload

Upload from url on FileStack

Upload a file to Filestack from a public URL

Connect FileStack to Pydantic AI via MCP

Follow these steps to wire FileStack into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from FileStack with type-safe schemas

Why Use Pydantic AI with the FileStack MCP Server

Pydantic AI provides unique advantages when paired with FileStack through the Model Context Protocol.

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

FileStack + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the FileStack MCP Server delivers measurable value.

Type-safe data pipelines: query FileStack with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple FileStack tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query FileStack and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock FileStack responses and write comprehensive agent tests

Example Prompts for FileStack in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with FileStack immediately.

"Upload this image to Filestack: https://example.com/photo.jpg"

"What objects are detected in the image with handle ABC123XYZ?"

"Convert the video ABC123XYZ to mp4 format."

Troubleshooting FileStack MCP Server with Pydantic AI

Common issues when connecting FileStack to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

FileStack + Pydantic AI FAQ

Common questions about integrating FileStack MCP Server with Pydantic AI.

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.