Bring Video Intelligence
to LlamaIndex
Learn how to connect Tubular to LlamaIndex and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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.
How it works
1. Subscribe to this server
2. Enter your Tubular API Key (found in your developer settings)
3. Start analyzing the video ecosystem from Claude, Cursor, or any MCP client
Who is this for?
- Media Agencies & Brands — quickly identify high-performing creators and analyze sponsored content trends via simple AI commands.
- Content Strategists — monitor video trends and cross-platform audience demographics directly from the workspace.
- Data Analysts — retrieve granular video metrics and creator audience ratings via the AI assistant.
Built-in capabilities (12)
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
Why LlamaIndex?
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.
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Data-first architecture: LlamaIndex agents combine Tubular tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Tubular tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Tubular, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Tubular tools were called, what data was returned, and how it influenced the final answer
Tubular in LlamaIndex
Tubular and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Tubular to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Tubular in LlamaIndex
The Tubular 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Tubular for LlamaIndex
Every tool call from LlamaIndex to the Tubular MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I see the audience demographics for a specific YouTube video?
Yes! Use the get_video_demographics tool and provide the Video ID. Your agent will retrieve the age and gender breakdowns for that specific piece of content.
How do I analyze the shared audience between two different creators?
Use the get_audience_overlap tool and provide the IDs for both entities. The agent will return the percentage and metrics of the audience that both creators share.
Is it possible to see which brands are sponsoring a specific creator?
Absolutely. Run the list_sponsored_campaigns query or search for sponsors using the list_sponsors tool to retrieve data on brand partnerships within the video ecosystem.
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.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Tubular tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
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Install: pip install llama-index-tools-mcp