Can my AI agent batch delete unused Uploadcare files?

Yes! Provide your agent with the list of unused UUIDs or ask it to identify temporary incomplete uploads, and simply command it to `batch delete these assets`. The agent uses the `batch_delete_files` tool to permanently erase them from the CDN instantly, freeing up your project's storage.

How can I quickly check my current CDN bandwidth and storage usage?

Instead of digging through the web dashboard, ask your AI agent to `get project info`. It instantly fetches your Uploadcare project-level metadata, returning your precise storage usage (bytes), traffic bandwidth usage, and active file count. Perfect for quick billing audits.

Will my temporary UI uploads expire automatically?

By default, temporary files uploaded via your front-end will be wiped after 24 hours. To prevent this, you can ask your agent to `store this file ` or `batch store` a bunch of UUIDs. The agent communicates with Uploadcare to mark the files as permanently stored, saving them from the garbage collector.

Uploadcare MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Uploadcare
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Uploadcare through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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 agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

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

        agent = Agent(
            name="Uploadcare Assistant",
            instructions=(
                "You help users interact with Uploadcare. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Uploadcare"
        )
        print(result.final_output)

asyncio.run(main())

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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

About Uploadcare MCP Server

Connect your Uploadcare account to any AI agent to fully manage your file handling and CDN media infrastructure via natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Uploadcare through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Uploadcare, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

File Management — List uploaded assets, retrieve specific file technical metadata (like dimensions and CDN URLs), and manage permanent storage states.
Bulk Operations — Efficiently batch store or batch delete multiple temporary or permanent files in a single operation.
File Transport — Copy existing files manually to local or remote storage targets, directly through your AI agent.
Groups & Collections — List immutable file collections (groups) and inspect which individual files are contained within them.
Project Analytics — Retrieve your Uploadcare project-level metadata, checking your current account storage and bandwidth consumption in real time.

The Uploadcare MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Uploadcare to OpenAI Agents SDK via MCP

Follow these steps to integrate the Uploadcare MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Uploadcare

Why Use OpenAI Agents SDK with the Uploadcare MCP Server

OpenAI Agents SDK provides unique advantages when paired with Uploadcare through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Uploadcare + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Uploadcare MCP Server delivers measurable value.

Automated workflows: build agents that query Uploadcare, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Uploadcare, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Uploadcare tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Uploadcare to resolve tickets, look up records, and update statuses without human intervention

Uploadcare MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Uploadcare to OpenAI Agents SDK via MCP:

batch_delete_files

This action is irreversible. Permanently removes multiple files in a single operation

batch_store_files

Marks multiple temporary files as permanently stored

copy_file

g. S3). Copies an existing file to local or remote storage

delete_file

This action is irreversible. Permanently removes a file and its variants from Uploadcare

get_file_details

Retrieves technical metadata for a specific Uploadcare file

get_group_details

Retrieves information about a specific file group

get_project_info

Retrieves project-level metadata and usage statistics

list_file_groups

Lists immutable file collections (groups) in the project

list_files

Supports pagination via limit. Lists files stored in your Uploadcare project

store_file

Marks a temporary file as permanently stored

Example Prompts for Uploadcare in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Uploadcare immediately.

"What is our current project storage and bandwidth usage?"

"Can you check the dimensions and CDN URL for file UUID `9cd83...`?"

"Batch delete these 4 outdated temporary images: `e33b...`, `f55a...`, `8c11...`, `ab99...`."

Troubleshooting Uploadcare MCP Server with OpenAI Agents SDK

Common issues when connecting Uploadcare to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Uploadcare + OpenAI Agents SDK FAQ

Common questions about integrating Uploadcare MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.