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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.

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Works with every AI agent you already use

…and any MCP-compatible client

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CrewAI

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.

GDPR Free for Subscribers

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.

Setup guide

Set up Mux MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 2

    Add the MCP URL to your agent

    Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.

  3. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Mux tools as needed.

crew.py
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)

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

Pass the Vinkius endpoint URL directly into the `mcps` array in your Agent definition. CrewAI handles the HTTP transport natively.
Yes. Assign a dedicated agent to poll `get_live_stream` at regular intervals. It reads the status field and triggers an escalation protocol if the stream disconnects.
Import `MCPServerHTTP` from `crewai.mcp` and use the `tool_filter` parameter. You give your analyst agent access to `get_recent_views` while blocking it from running `delete_live_stream`.
A cleanup agent can execute `list_assets` to find old videos and call `delete_asset` to remove them. You should use a moderator agent to approve these actions first.
Mux stream keys and asset metadata are processed ephemerally by the MCP Server. Vinkius runs the server in an isolated V8 sandbox that destroys the runtime memory completely after the tool execution finishes.

Start using the Mux MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 11 tools

We've already built the connector for Mux. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 11 tools are live and waiting. You're up and running in seconds.

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