Tubular MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Check Api Health, Get Api Rate Limits, Get Audience Overlap, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Tubular 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 Tubular app connector for LlamaIndex is a standout in the Data Analytics category — giving your AI agent 12 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 Tubular. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Tubular?"
)
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 Tubular MCP Server
Connect your Tubular Labs video intelligence account to any AI agent and simplify how you analyze digital video trends, creator performance, and cross-platform audience metrics through natural conversation.
LlamaIndex agents combine Tubular tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- Video Insights — Retrieve detailed performance metrics and trending data for individual videos or categories across social platforms.
- Creator Intelligence — Search for creators and fetch high-level performance summaries, trends, and audience ratings.
- Audience Demographics — Analyze audience breakdowns (age, gender, location) for specific videos or creators to refine your targeting.
- Sponsorship Tracking — List brand sponsors and monitor sponsored video campaigns to understand the competitive landscape.
- Audience Overlap — Analyze shared audience between two creators or content properties to identify partnership opportunities.
- Operational Monitoring — Check API health and rate limits to ensure your intelligence engine is always running.
The Tubular MCP Server exposes 12 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 12 Tubular tools available for LlamaIndex
When LlamaIndex connects to Tubular through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-intelligence, audience-insights, competitive-benchmarking, 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.
Check API health status
Get current API rate limits
Analyze shared audience between entities
Get reach and engagement ratings
Get summary for a specific creator
Get trends for a specific creator
) for a specific video. Get audience demographics for a video
Get insights for a specific video
List trending videos
List sponsored video campaigns
List sponsors and brand partners
g., name or keywords). Search for creators
Connect Tubular to LlamaIndex via MCP
Follow these steps to wire Tubular 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 Tubular MCP Server
LlamaIndex provides unique advantages when paired with Tubular through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Tubular tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Tubular tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Tubular, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Tubular tools were called, what data was returned, and how it influenced the final answer
Tubular + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Tubular MCP Server delivers measurable value.
Hybrid search: combine Tubular real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Tubular 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 Tubular for fresh data
Analytical workflows: chain Tubular queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Tubular in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Tubular immediately.
"Search for top gaming creators in my region."
"Show me the audience overlap between creator 'A-101' and 'B-552'."
"List all active sponsored video campaigns from 'TechBrand Inc'."
Troubleshooting Tubular MCP Server with LlamaIndex
Common issues when connecting Tubular to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpTubular + LlamaIndex FAQ
Common questions about integrating Tubular MCP Server with LlamaIndex.