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 CrewAI 9 tools — connect in under 2 minutes

Name: Sirv
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 9 Tools Framework

Connect your CrewAI agents to Sirv through Vinkius, pass the Edge URL in the `mcps` parameter and every Sirv 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="Sirv Specialist",
    goal="Help users interact with Sirv effectively",
    backstory=(
        "You are an expert at leveraging Sirv 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 Sirv "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 9 available tools "
        "and what they can do."
    ),
)

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

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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.

When paired with CrewAI, Sirv becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Sirv 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

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 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 Sirv to CrewAI via MCP

Follow these steps to integrate the Sirv 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 9 tools from Sirv

Why Use CrewAI with the Sirv MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Sirv 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

Sirv + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Sirv 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 Sirv, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Sirv 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 Sirv against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Sirv MCP Tools for CrewAI (9)

These 9 tools become available when you connect Sirv to CrewAI 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 CrewAI

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

Common issues when connecting Sirv 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.

Sirv + CrewAI FAQ

Common questions about integrating Sirv 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.