How to Use the 4YouSee MCP in LlamaIndex

Q: Can LlamaIndex index 4YouSee player logs?

You can build a pipeline that periodically runs getplayer. The resulting diagnostic text gets chunked and stored in your vector database.

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Connect 4YouSee MCP to LlamaIndex

Create your Vinkius account to connect 4YouSee to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup 4YouSee with LlamaIndex

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Vectorize your media library with MCP

The LlamaIndex integration pulls your entire asset catalog via `list_medias` and `list_templates`. Your pipeline embeds those filenames and metadata directly into a vector store. Users query the index to find specific promotional assets. The system returns exact matches grounded in your actual platform data rather than guessing.

Query hardware status with LlamaIndex

Connect the MCP Server to a FunctionAgent to fetch real-time hardware conditions. It runs `list_players` to map the network and `get_player` for specific diagnostic logs. Those logs become context for your RAG application. You ask why a screen failed, and the agent synthesizes an answer using the live telemetry it just ingested.

Embed platform permissions

Feed the output of `list_users` into your document store. The agent indexes every active account and their group assignments across the signage network. Administrators run semantic searches against access policies. They instantly see who pushed an update to a specific terminal without manually clicking through dashboards.

Setup guide

Set up 4YouSee MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all 4YouSee MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to 4YouSee tools.",
)
response = await agent.run("List recent 4YouSee data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by 4YouSee. 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.

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Common questions about 4YouSee MCP in LlamaIndex

Initialize BasicMCPClient with your Vinkius URL. Wrap it with McpToolSpec and call to_tool_list_async() to get your functions.

You can build a pipeline that periodically runs get_player. The resulting diagnostic text gets chunked and stored in your vector database.

The server exposes standardized schemas that LlamaIndex consumes automatically. You skip writing custom extraction logic for the signage endpoints.

Pass an allowed tools filter during setup. You restrict the agent to specific read operations like list_medias if you want to limit scope.

All requests pass through a zero-trust architecture requiring only a single endpoint token. Your media filenames and user group assignments stay isolated during the session.

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