Uscreen MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Check Uscreen Status, Get Collection, Get Content, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Uscreen as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The Uscreen app connector for LlamaIndex is a standout in the Ecommerce category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Uscreen. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Uscreen?"
)
print(response)
asyncio.run(main())
* 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 Uscreen MCP Server
Connect your Uscreen account to any AI agent and manage your video membership business.
LlamaIndex agents combine Uscreen tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through 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
- Customer Management — List all customers and view detailed profiles
- Content Library — Browse and inspect videos and courses
- Collection Organization — List and view content collections
- Subscription Plans — View all membership plans and pricing
- Product Catalog — Browse available products for purchase
- Revenue Tracking — List all payment transactions
The Uscreen MCP Server exposes 10 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.
All 10 Uscreen tools available for LlamaIndex
When LlamaIndex connects to Uscreen through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-streaming, membership-site, subscription-billing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify API connectivity
Get collection details
Get content details
Get customer details
List collections
List all content
List all customers
List products
List subscriptions
List transactions
Connect Uscreen to LlamaIndex via MCP
Follow these steps to wire Uscreen into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Uscreen MCP Server
LlamaIndex provides unique advantages when paired with Uscreen through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Uscreen tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Uscreen tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Uscreen, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Uscreen tools were called, what data was returned, and how it influenced the final answer
Uscreen + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Uscreen MCP Server delivers measurable value.
Hybrid search: combine Uscreen real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Uscreen to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Uscreen for fresh data
Analytical workflows: chain Uscreen queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Uscreen in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Uscreen immediately.
"List all my Uscreen customers."
"Show all subscription plans."
"List all payment transactions."
Troubleshooting Uscreen MCP Server with LlamaIndex
Common issues when connecting Uscreen to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpUscreen + LlamaIndex FAQ
Common questions about integrating Uscreen MCP Server with LlamaIndex.