Can I get a direct link to upload a video through the agent?

Yes! Use the `get_media_upload_url` tool. The agent will return a temporary URL that you can use to POST your video file directly to Cincopa's servers.

How do I see the metadata for a specific image or video?

Use the `get_asset_metadata` tool with the unique Resource ID (rid). Your agent will fetch detailed info like resolution, format, and size.

Where do I find my Cincopa API Token?

Log in to your Cincopa account and navigate to **Settings > API & Developers**. You can generate and copy your personal API token from there.

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

Name: Cincopa
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to Cincopa through Vinkius, pass the Edge URL in the `mcps` parameter and every Cincopa 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="Cincopa Specialist",
    goal="Help users interact with Cincopa effectively",
    backstory=(
        "You are an expert at leveraging Cincopa 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 Cincopa "
        "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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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 Cincopa MCP Server

Connect your Cincopa account to any AI agent and take full control of your video and media management through natural conversation. Streamline how you host and distribute content.

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

Gallery Oversight — List and retrieve details for all media galleries and folders natively
Asset Intelligence — Access detailed metadata for videos, images, and audio files flawlessly
Upload Automation — Retrieve temporary upload URLs to push new content to your platform securely
Template Management — List available gallery templates to ensure consistent branding flawlessly
Content Control — Create new galleries and delete unwanted assets directly from your chat interface flawlessly
Engagement Monitoring — Monitor media performance and usage metadata directly within your workspace

The Cincopa 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 Cincopa to CrewAI via MCP

Follow these steps to integrate the Cincopa 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 Cincopa

Why Use CrewAI with the Cincopa MCP Server

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

Cincopa + CrewAI Use Cases

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

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

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

Cincopa MCP Tools for CrewAI (8)

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

create_new_gallery

Create a new media gallery using a template

delete_media_asset

Permanently delete a media asset from the account

get_asset_metadata

Get detailed metadata for a specific media asset

get_gallery_details

Get detailed information for a specific gallery

get_media_upload_url

Retrieve a temporary URL for uploading new media files

list_cincopa_assets

List all media assets (videos, images, audio)

list_cincopa_galleries

List all media galleries in the account

list_cincopa_templates

List available gallery templates

Example Prompts for Cincopa in CrewAI

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

"List all my video galleries in Cincopa."

"Show me the metadata for asset RID 'AAAAtAURG'."

"Create a new gallery called 'Customer Interviews' using the 'Video Portal' template."

Troubleshooting Cincopa MCP Server with CrewAI

Common issues when connecting Cincopa 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.

Cincopa + CrewAI FAQ

Common questions about integrating Cincopa 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.