How do I find my MediaSilo API Key and Secret?

Log in to MediaSilo, go to your Profile settings, and navigate to the API Keys section to generate a new key and secret.

Quicklinks are a core MediaSilo feature used to securely share media for review without requiring the recipient to have a MediaSilo account.

Is my media data secure?

Absolutely. Your credentials are encrypted at rest and injected securely at runtime.

MediaSilo MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: MediaSilo
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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 MediaSilo "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in MediaSilo?"
    )
    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 MediaSilo MCP Server

Connect your MediaSilo (Shift) account to any AI agent and take full control of your media asset management and collaboration through natural conversation.

Pydantic AI validates every MediaSilo tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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

Asset Management — List all media assets, search by term, and fetch detailed metadata for videos and images
Project Organization — Enumerate active projects, list folders, and inspect specific project configurations
Collaboration — Manage Quicklinks for secure media sharing and review with your team and clients
User Inventory — List authorized users and manage access within your MediaSilo workspace

The MediaSilo MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect MediaSilo to Pydantic AI via MCP

Follow these steps to integrate the MediaSilo MCP Server with Pydantic AI.

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 10 tools from MediaSilo with type-safe schemas

Why Use Pydantic AI with the MediaSilo MCP Server

Pydantic AI provides unique advantages when paired with MediaSilo 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 MediaSilo integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your MediaSilo connection logic from agent behavior for testable, maintainable code

MediaSilo + Pydantic AI Use Cases

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

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

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

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

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

MediaSilo MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect MediaSilo to Pydantic AI via MCP:

get_asset

Get details for a specific asset

get_project

Get details for a specific project

get_project_assets

List all assets within a project

get_quicklink

Get details for a specific Quicklink

list_assets

) from MediaSilo. List all media assets

list_folders

List folders within a project

list_projects

List all projects

list_quicklinks

List all Quicklinks

list_users

List all users

search_assets

Search for assets by term

Example Prompts for MediaSilo in Pydantic AI

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

"List the most recent assets in MediaSilo."

"Show folders for project 'Fall Campaign'."

"Search for assets matching 'logo'."

Troubleshooting MediaSilo MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

MediaSilo + Pydantic AI FAQ

Common questions about integrating MediaSilo 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 MediaSilo MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.