How do I create a Mux API Token?

Go to the Mux Dashboard, navigate to Settings > API Tokens, and click 'Create new token'. Ensure you copy the Token Secret immediately as it will only be shown once.

What format should the asset URL be?

The URL must be publicly accessible and point directly to a video file (e.g., MP4, MOV). Mux will then fetch and process the file from that location.

Is the analytics data real-time?

Yes, the `get_recent_views` tool retrieves near real-time data about video views occurring in your account.

Mux MCP Server for LangChain 11 tools — connect in under 2 minutes

Name: Mux
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Mux through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "mux": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Mux, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Mux MCP Server

Connect your Mux Video account to your AI agent and take full control of your video infrastructure and streaming workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Mux through native MCP adapters. Connect 11 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Asset Management — List all video assets and get real-time status updates, durations, and playback IDs.
Asset Creation — Create new video assets instantly by providing a public URL to your source file.
Live Streaming — Access and monitor your live stream configurations and their current status.
Direct Uploads — Create secure upload sessions for uploading video files directly.
Video Analytics — Get recent video view metrics to track your content's reach.
Deep Inspection — Fetch complete metadata for specific assets or live streams using their unique IDs.

The Mux MCP Server exposes 11 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Mux to LangChain via MCP

Follow these steps to integrate the Mux MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 11 tools from Mux via MCP

Why Use LangChain with the Mux MCP Server

LangChain provides unique advantages when paired with Mux through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine Mux MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Mux queries for multi-turn workflows

Mux + LangChain Use Cases

Practical scenarios where LangChain combined with the Mux MCP Server delivers measurable value.

RAG with live data: combine Mux tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Mux, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Mux tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Mux tool call, measure latency, and optimize your agent's performance

Mux MCP Tools for LangChain (11)

These 11 tools become available when you connect Mux to LangChain via MCP:

create_asset

Create a new video asset

create_direct_upload

Create a direct upload session

create_live_stream

Create a new live stream

delete_asset

Delete a video asset

delete_live_stream

Delete a live stream

get_asset

Get specific asset details

get_live_stream

Get specific live stream details

get_recent_views

Get recent video views analytics

list_assets

List Mux video assets

list_direct_uploads

List direct video uploads

list_live_streams

List Mux live streams

Example Prompts for Mux in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Mux immediately.

"List all my video assets and show their status."

"Create a new video asset from https://example.com/video.mp4."

"Check recent views for my videos."

Troubleshooting Mux MCP Server with LangChain

Common issues when connecting Mux to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Mux + LangChain FAQ

Common questions about integrating Mux MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.