How to Use the Mux MCP in AutoGen

Manage Mux video infrastructure using AutoGen multi-agent debate.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Mux MCP to AutoGen

Create your Vinkius account to connect Mux to AutoGen 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

Setup Mux with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Audit Assets via Mux MCP Server

The cost agent runs `list_assets` via the Mux MCP Server to audit your video storage. It cross-checks engagement using `get_recent_views` to identify dead files. This agent proposes running `delete_asset` if a file shows zero traffic. A separate content agent reviews the metadata, argues to keep the video if it belongs to a critical campaign, and they reach a consensus before executing anything.

Coordinate Live Broadcasts

An AutoGen agent executes `create_live_stream` to provision the ingest URL exactly when the production team needs it. Setting up an event requires exact timing, and autonomous execution prevents human delays. A secondary monitoring agent periodically checks the stream health with `get_live_stream`. If the event concludes, it signals the primary agent to fire `delete_live_stream`, closing the endpoint.

Process Direct Uploads

Your system uses `create_direct_upload` to generate signed URLs for client-side transfers. Handling user uploads involves multiple moving parts, and delegating this to an agent simplifies your backend. An agent runs `list_direct_uploads` to confirm receipt once the user pushes the file. A separate notification agent waits for the encoding to finish by polling `get_asset`, then alerts your frontend.

Setup guide

Set up Mux MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Mux tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Mux_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Mux data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Mux_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Mux data")
    print(result.messages[-1].content)

Get your connection token →

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.

Connect Mux now

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 AutoGen

Use the server tools function with your configured MCP endpoint URL. The adapter automatically converts the JSON schema into a format your assistant agent understands.

Yes. You inject the tool list into the constructor of any agent that needs video access. They all route requests through the same connection.

You restrict the tool list. Only provide deletion access to a highly privileged agent, and require a human-in-the-loop approval step before it executes.

Agents can poll the analytics endpoints at set intervals. They analyze the incoming data and trigger alerts if the viewer count drops suddenly.

Your broadcast credentials stay isolated to your local execution environment. Vinkius provides a zero-trust transport layer, meaning sensitive data never touches our storage disks.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript