How to Use the Twelve Labs (Video Understanding) MCP in Mastra AI
Build resilient video data pipelines with Mastra AI and our MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Twelve Labs (Video Understanding) MCP to Mastra AI
Create your Vinkius account to connect Twelve Labs (Video Understanding) to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Analyze videos asynchronously
If you're processing a massive backlog of footage, don't wait on synchronous calls. The `analyze_async` tool handles this heavy lifting in the background and reports progress. This is perfect for your complex workflows: trigger the analysis via Mastra AI, let it run, and then use other steps to check the status until the results are ready.
Build structured knowledge indexes
You don't just want raw data; you need structure. Use `create_index` to define a schema for your video insights, and then use `list_indexes` to see what's already set up. This allows Mastra AI to treat the resulting video analysis as highly organized records, making subsequent steps reliable and predictable.
Handle large file uploads reliably
When dealing with gigabytes of footage, you can't just send one massive request. `create_multipart_upload` manages the session needed to upload content in chunks. This ensures that even if a connection drops mid-transfer, your workflow has the necessary tools (`report_multipart_progress`) to pick up right where it left off.
Set up Twelve Labs (Video Understanding) MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and inject tools
Call
mcpClient.listTools()and spread the result into your agent'stoolsobject. All Twelve Labs (Video Understanding) tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";
const mcpClient = new MCPClient({
id: "twelve-labs-video-understanding-mcp-client",
servers: {
"twelve-labs-video-understanding-mcp": {
url: new URL(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
),
},
},
});
const agent = new Agent({
name: "Twelve Labs (Video Understanding) Agent",
model: openai("gpt-4o"),
instructions: "You have access to Twelve Labs (Video Understanding) tools.",
tools: {
...(await mcpClient.listTools()),
},
});
const result = await agent.generate(
"List recent Twelve Labs (Video Understanding) transactions"
);
console.log(result.text); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Twelve Labs. 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 Twelve Labs (Video Understanding) MCP in Mastra AI
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