How to Use the Cloudflare Stream MCP in CrewAI
Run a team of autonomous CrewAI agents using this media MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Cloudflare Stream MCP to CrewAI
Create your Vinkius account to connect Cloudflare Stream to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Multi-agent video moderation and publishing via MCP Server
This Cloudflare Stream MCP Server enables collaborative CrewAI agent teams to divide and conquer video operations. It's simple: a researcher agent scans your library using `list_videos`, while an editor agent updates metadata with `edit_video` based on performance metrics. To keep the workspace clean, a CrewAI moderator agent uses `delete_video` to remove duplicate files from Cloudflare Stream. The crew coordinates these tasks using shared memory, ensuring agents never overwrite each other's changes.
Autonomous live stream monitoring and scaling
Deploy specialized CrewAI agents to supervise your live broadcasts using Cloudflare Stream `list_live_inputs` and `list_live_outputs`. A monitor agent tracks active streams, while an operations agent instantly calls `create_live_output` to spin up new simulcast targets. If a stream goes offline, the CrewAI team runs `delete_live_input` to release Cloudflare Stream resources. This autonomous loop operates 24/7 without needing human operators at the console.
Automated localization and branding crews
Build a CrewAI localization crew where one agent generates subtitles using Cloudflare Stream `generate_caption` and another reviews them. The publisher agent then uses `upload_caption` to apply the checked VTT files to your video assets. Simultaneously, a CrewAI branding agent applies watermarks across your catalog using `create_watermark` and `list_watermarks`. The entire process runs sequentially, passing the Cloudflare Stream video ID from agent to agent.
Set up Cloudflare Stream MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Cloudflare Stream tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Cloudflare Stream Analyst",
goal="Access and analyze Cloudflare Stream data via MCP.",
backstory="Expert analyst with direct Cloudflare Stream access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Cloudflare Stream transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Cloudflare Stream Analyst",
goal="Access and analyze Cloudflare Stream data via MCP.",
backstory="Expert analyst with direct Cloudflare Stream access.",
tools=mcp_tools,
)
task = Task(
description="List recent Cloudflare Stream transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cloudflare Stream. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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60%
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place for every integration
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Common questions about Cloudflare Stream MCP in CrewAI
Use it with your favorite AI tools
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