Can it accidentally delete all my files?

The delete_file tool only removes the specific file you target by path. It cannot delete entire directories at once. Each deletion requires an explicit file path.

How does authentication work?

You provide your Client ID and Client Secret. The integration automatically exchanges them for a Bearer token on each session — no manual OAuth setup required.

What file types does Sirv support?

Sirv supports images (JPEG, PNG, WebP, SVG, GIF), videos, PDFs, and other static files. The integration can browse and manage all file types stored in your account.

Sirv MCP Server for Pydantic AI 9 tools — connect in under 2 minutes

Name: Sirv
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Sirv 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 Sirv "
            "(9 tools)."
        ),
    )

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

Connect your AI to Sirv, the image CDN and digital asset management platform optimized for speed and automation.

Pydantic AI validates every Sirv tool response against typed schemas, catching data inconsistencies at build time. Connect 9 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

File Browsing — List files and directories in your Sirv account, inspecting folder structures and contents.
Metadata Inspection — Read detailed metadata for any file, including dimensions, format, size, and modification dates.
File Deletion — Remove unused or outdated assets from your Sirv storage directly from chat.
Bandwidth Monitoring — Audit your CDN bandwidth usage and storage consumption.

The Sirv MCP Server exposes 9 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 Sirv to Pydantic AI via MCP

Follow these steps to integrate the Sirv 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 9 tools from Sirv with type-safe schemas

Why Use Pydantic AI with the Sirv MCP Server

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

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

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

Sirv + Pydantic AI Use Cases

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

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

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

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

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

Sirv MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect Sirv to Pydantic AI via MCP:

delete_file

This action is irreversible. Permanently deletes a file

get_account_stats

Retrieves Sirv account storage and traffic statistics

get_billing_info

Retrieves billing details

get_detailed_usage

Retrieves detailed usage metrics

get_file_details

Retrieves details for a specific file

list_account_users

Lists all users in the Sirv account

list_custom_domains

Lists custom domains configured for the account

read_directory

Requires the absolute path starting with "/". Lists contents of a specific directory

search_files

Returns file metadata and URLs. Searches for files in Sirv

Example Prompts for Sirv in Pydantic AI

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

"List the contents of the '/images' directory in my Sirv account."

"Show me the bandwidth usage for this month."

Troubleshooting Sirv MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Sirv + Pydantic AI FAQ

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