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

Built by Vinkius GDPR 11 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Mux as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Mux. "
            "You have 11 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Mux?"
    )
    print(response)

asyncio.run(main())
Mux
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* 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.

LlamaIndex agents combine Mux tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 11 tools from Mux

Why Use LlamaIndex with the Mux MCP Server

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

01

Data-first architecture: LlamaIndex agents combine Mux tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Mux tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Mux, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Mux tools were called, what data was returned, and how it influenced the final answer

Mux + LlamaIndex Use Cases

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

01

Hybrid search: combine Mux real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Mux to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Mux for fresh data

04

Analytical workflows: chain Mux queries with LlamaIndex's data connectors to build multi-source analytical reports

Mux MCP Tools for LlamaIndex (11)

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

01

create_asset

Create a new video asset

02

create_direct_upload

Create a direct upload session

03

create_live_stream

Create a new live stream

04

delete_asset

Delete a video asset

05

delete_live_stream

Delete a live stream

06

get_asset

Get specific asset details

07

get_live_stream

Get specific live stream details

08

get_recent_views

Get recent video views analytics

09

list_assets

List Mux video assets

10

list_direct_uploads

List direct video uploads

11

list_live_streams

List Mux live streams

Example Prompts for Mux in LlamaIndex

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

01

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

02

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

03

"Check recent views for my videos."

Troubleshooting Mux MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Mux + LlamaIndex FAQ

Common questions about integrating Mux MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Mux tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect Mux to LlamaIndex

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.