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 LangChain 10 tools — connect in under 2 minutes

Name: Uploadcare
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Uploadcare through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "uploadcare": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Uploadcare, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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.

LangChain's ecosystem of 500+ components combines seamlessly with Uploadcare through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Uploadcare MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Uploadcare via MCP

Why Use LangChain with the Uploadcare MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Uploadcare MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Uploadcare queries for multi-turn workflows

Uploadcare + LangChain Use Cases

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

RAG with live data: combine Uploadcare tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Uploadcare, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Uploadcare tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Uploadcare tool call, measure latency, and optimize your agent's performance

Uploadcare MCP Tools for LangChain (10)

These 10 tools become available when you connect Uploadcare to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Uploadcare + LangChain FAQ

Common questions about integrating Uploadcare MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.