Bring Video Search
to LlamaIndex
Learn how to connect Twelve Labs (Video Understanding) to LlamaIndex and start using 18 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Twelve Labs (Video Understanding) MCP Server?
Connect Twelve Labs to your AI agent to unlock the full potential of video understanding. This server allows your agent to index video files, perform complex semantic searches, and generate deep analytical insights from visual and audio data.
What you can do
- Video Indexing — Create and manage indexes to organize your video library for rapid retrieval and analysis.
- Semantic Search — Query your video content using natural language to find specific moments, objects, or actions without manual tagging.
- Asset Management — Upload videos via URLs or multipart sessions and monitor their indexing status in real-time.
- Deep Analysis — Run synchronous or asynchronous analysis tasks to extract structured data from your video assets.
- Embeddings & Entities — Generate multimodal embeddings and manage entity collections for advanced machine learning workflows.
How it works
- Subscribe to this server
- Enter your Twelve Labs API Key
- Start querying your video data from Claude, Cursor, or any MCP-compatible client
Transform your video archives into searchable, actionable data. Your AI can now 'watch' and understand hours of footage in seconds.
Who is this for?
- Content Creators & Media Teams — quickly find b-roll or specific scenes across massive video libraries.
- Security & Operations — search through hours of footage for specific events or objects using natural language.
- Developers — integrate state-of-the-art video understanding into your AI workflows without building complex pipelines.
Built-in capabilities (18)
Analyze and segment videos asynchronously
Analyze and segment videos synchronously
Confirm a multipart upload
Upload content to create an asset
g., a person) within a collection. Create an entity
Create an entity collection
Create a new index
Create a multipart upload session
Delete an index
Create embeddings asynchronously
Create embeddings synchronously
Retrieve an index by ID
Retrieve an indexed asset
Index an uploaded asset
List all indexes
Report progress for a multipart upload
Search for moments in videos
Update an index name
Why LlamaIndex?
LlamaIndex agents combine Twelve Labs (Video Understanding) tool responses with indexed documents for comprehensive, grounded answers. Connect 18 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 Twelve Labs (Video Understanding) tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Twelve Labs (Video Understanding) tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Twelve Labs (Video Understanding), a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Twelve Labs (Video Understanding) tools were called, what data was returned, and how it influenced the final answer
Twelve Labs (Video Understanding) in LlamaIndex
Twelve Labs (Video Understanding) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Twelve Labs (Video Understanding) 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 | 4,000+ 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 Twelve Labs (Video Understanding) in LlamaIndex
The Twelve Labs (Video Understanding) 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 18 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
Twelve Labs (Video Understanding) for LlamaIndex
Every tool call from LlamaIndex to the Twelve Labs (Video Understanding) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I list all my existing video indexes?
You can use the list_indexes tool. It will return a list of all indexes available in your Twelve Labs account, including their IDs and configuration.
Can I search for a specific moment inside my videos using text?
Yes! Use the search tool by providing an index_id and a search query. The AI will find the most relevant timestamps and video segments based on your description.
How do I add a new video to an index for analysis?
First, use create_asset with a public URL to upload the video. Then, use the index_asset tool with the resulting asset_id and your target index_id to start the processing.
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 Twelve Labs (Video Understanding) 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.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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