Can I list all my hosted videos using my AI agent?

Yes! Use the `list_videos` tool to retrieve a comprehensive list of all videos currently hosted in your account.

INSTANT PLUG AND PLAY

SproutVideo MCP Server for CrewAIGive CrewAI instant access to 11 tools to Create Playlist, Delete Video, Get Account, and more

Name: SproutVideo
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 11 Tools Framework

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

Use with Your AI Agent

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The SproutVideo app connector for CrewAI is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="SproutVideo Specialist",
    goal="Help users interact with SproutVideo effectively",
    backstory=(
        "You are an expert at leveraging SproutVideo 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 SproutVideo "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 11 available tools "
        "and what they can do."
    ),
)

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

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About SproutVideo MCP Server

Connect your SproutVideo account to any AI agent and simplify your video hosting and content management through natural conversation.

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

Video Management — List all hosted videos, retrieve detailed metadata, and monitor playback stats and plays
Playlist Control — Query and manage video playlists to organize your content delivery
Metadata Automation — Update video titles, descriptions, and tags programmatically directly from your agent
Cleanup & Maintenance — Delete old or redundant videos and manage your storage usage
Operational Insights — Query video tags to understand your library structure and content distribution

The SproutVideo MCP Server exposes 11 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.

All 11 SproutVideo tools available for CrewAI

When CrewAI connects to SproutVideo through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-hosting, video-cms, streaming, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_playlist

Create a new video playlist

delete_video

Delete a video

get_account

Get account information and usage

get_playlist

Get details for a specific playlist

get_video_analytics

Get analytics for a specific video

get_video_details

Get details for a specific video

list_folders

List all video folders

list_playlists

List video playlists

list_video_tags

List video tags

list_videos

List SproutVideo videos

update_video_metadata

Update video details

Connect SproutVideo to CrewAI via MCP

Follow these steps to wire SproutVideo into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 11 tools from SproutVideo

Why Use CrewAI with the SproutVideo MCP Server

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

SproutVideo + CrewAI Use Cases

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

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

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

Example Prompts for SproutVideo in CrewAI

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

"List all videos in SproutVideo."

"Show me the video engagement analytics for all published videos with viewer retention data."

"Create a new playlist called Product Tutorials and add the top 5 most viewed tutorial videos."

Troubleshooting SproutVideo MCP Server with CrewAI

Common issues when connecting SproutVideo 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.

SproutVideo + CrewAI FAQ

Common questions about integrating SproutVideo 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.