Can I see my bandwidth usage for this month?

Yes! Use the `get_cloudinary_usage_report` tool. The agent will return core usage statistics, including current bandwidth and storage utilization compared to your plan limits.

How do I find all images tagged with 'summer'?

Use the `search_media_library` tool with an expression like `tags:summer`. Your agent will fetch all matching resources directly from your library.

Where do I find my Cloudinary API Secret and Cloud Name?

Log in to your Cloudinary Console. You can find your Cloud Name, API Key, and API Secret on the **Dashboard** main page under 'Account Details'.

Cloudinary MCP Server for CrewAI 8 tools — connect in under 2 minutes

Name: Cloudinary
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to Cloudinary through Vinkius, pass the Edge URL in the `mcps` parameter and every Cloudinary tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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 crewai import Agent, Task, Crew

agent = Agent(
    role="Cloudinary Specialist",
    goal="Help users interact with Cloudinary effectively",
    backstory=(
        "You are an expert at leveraging Cloudinary tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Cloudinary "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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IAMAccess control

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Ed25519Audit chain

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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 Cloudinary MCP Server

Connect your Cloudinary account to any AI agent and take full control of your media library through natural conversation. Streamline how you manage, optimize, and distribute images and videos natively.

When paired with CrewAI, Cloudinary becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Cloudinary tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Resource Oversight — List and retrieve details for all media resources including public IDs, formats, and secure URLs natively
Usage Intelligence — Access core usage and quota reports for storage, bandwidth, and transformations flawlessly
Asset Logistics — Monitor tags, folders, and transformations used across your media library securely
Search Management — Perform advanced searches using complex expressions to find specific assets instantly flawlessly
Automation Logistics — List configured upload presets to ensure consistent asset ingestion flawlessly
Content Control — Permanently delete unwanted media resources directly from your chat interface flawlessly

The Cloudinary MCP Server exposes 8 tools through the Vinkius. Connect it to CrewAI 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 Cloudinary to CrewAI via MCP

Follow these steps to integrate the Cloudinary MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 8 tools from Cloudinary

Why Use CrewAI with the Cloudinary MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Cloudinary through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Cloudinary + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Cloudinary MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Cloudinary for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Cloudinary, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Cloudinary tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Cloudinary against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Cloudinary MCP Tools for CrewAI (8)

These 8 tools become available when you connect Cloudinary to CrewAI via MCP:

delete_media_resource

Permanently delete a media resource from the cloud

get_cloudinary_usage_report

Retrieve core usage and quota information (Storage, Bandwidth, Transformations)

get_media_resource_details

Get detailed information for a specific media resource

list_media_resources

List all media resources (images, videos) in the cloud

list_media_tags

List all tags used in the media library

list_media_transformations

List all named and dynamic transformations

list_upload_presets

List all configured upload presets

search_media_library

Search for resources using a search expression

Example Prompts for Cloudinary in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Cloudinary immediately.

"List all images in my Cloudinary library."

"What is my current Cloudinary storage usage?"

"Search for all MP4 videos uploaded in the last 24 hours."

Troubleshooting Cloudinary MCP Server with CrewAI

Common issues when connecting Cloudinary to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Cloudinary + CrewAI FAQ

Common questions about integrating Cloudinary MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.