How to Use the Mux MCP in CrewAI
Deploy a crew of autonomous agents to manage your Mux video infrastructure and analyze viewer metrics using this MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Mux MCP to CrewAI
Create your Vinkius account to connect Mux 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.
Autonomous Live Stream Operations
One agent creates the broadcast. Another monitors it. You build a CrewAI team that handles your entire live video pipeline. The provisioning agent executes `create_live_stream` and passes the RTMP key to your encoder. Meanwhile, a monitoring agent runs on a loop. It calls `get_live_stream` to verify the connection remains stable. If the ingest drops, the agent alerts your operations team immediately. No human intervention needed.
CrewAI Media Library Management
Media libraries get messy fast. You assign an agent to audit your account via this MCP Server. It uses `list_assets` to pull everything in your catalog, checks the metadata with `get_asset`, and identifies orphaned files. If an asset hasn't been used in a year, the agent flags it. A manager agent reviews the list and executes `delete_asset` to cut your storage costs. You define the rules, the crew does the labor.
Multi-Agent Analytics Reporting
Stop pulling manual reports. Give an analyst agent access to this integration. It runs `list_assets` to gather your top videos and cross-references them using `get_recent_views`. The agent compiles the raw playback data, spots viewing trends, and hands the findings to a writer agent. The writer drafts a summary and posts it to your team channel.
Set up Mux 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 Mux tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Mux Analyst",
goal="Access and analyze Mux data via MCP.",
backstory="Expert analyst with direct Mux access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Mux 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="Mux Analyst",
goal="Access and analyze Mux data via MCP.",
backstory="Expert analyst with direct Mux access.",
tools=mcp_tools,
)
task = Task(
description="List recent Mux 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 Mux. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Mux MCP in CrewAI
Use it with your favorite AI tools
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