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 Google ADK 10 tools — connect in under 2 minutes

Name: Uploadcare
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Uploadcare as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="uploadcare_agent",
    instruction=(
        "You help users interact with Uploadcare "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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

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.

Google ADK natively supports Uploadcare as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Uploadcare MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Uploadcare via MCP

Why Use Google ADK with the Uploadcare MCP Server

Google ADK provides unique advantages when paired with Uploadcare through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Uploadcare

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Uploadcare tools with BigQuery, Vertex AI, and Cloud Functions

Uploadcare + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Uploadcare MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Uploadcare and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Uploadcare tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Uploadcare regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Uploadcare

Uploadcare MCP Tools for Google ADK (10)

These 10 tools become available when you connect Uploadcare to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Uploadcare to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Uploadcare + Google ADK FAQ

Common questions about integrating Uploadcare MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.