SproutVideo MCP Server for Mastra AIGive Mastra AI instant access to 11 tools to Create Playlist, Delete Video, Get Account, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect SproutVideo through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The SproutVideo app connector for Mastra AI is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"sproutvideo": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "SproutVideo Agent",
instructions:
"You help users interact with SproutVideo " +
"using 11 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with SproutVideo?"
);
console.log(result.text);
}
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 SproutVideo MCP Server
Connect your SproutVideo account to any AI agent and simplify your video hosting and content management through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and SproutVideo tool infrastructure. Connect 11 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Video Management — List all hosted videos, retrieve detailed metadata, and monitor playback stats and plays
- Playlist Control — Query and manage video playlists to organize your content delivery
- Metadata Automation — Update video titles, descriptions, and tags programmatically directly from your agent
- Cleanup & Maintenance — Delete old or redundant videos and manage your storage usage
- Operational Insights — Query video tags to understand your library structure and content distribution
The SproutVideo MCP Server exposes 11 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 11 SproutVideo tools available for Mastra AI
When Mastra AI connects to SproutVideo through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-hosting, video-cms, streaming, 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.
Create a new video playlist
Delete a video
Get account information and usage
Get details for a specific playlist
Get analytics for a specific video
Get details for a specific video
List all video folders
List video playlists
List video tags
List SproutVideo videos
Update video details
Connect SproutVideo to Mastra AI via MCP
Follow these steps to wire SproutVideo into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the SproutVideo MCP Server
Mastra AI provides unique advantages when paired with SproutVideo through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add SproutVideo without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every SproutVideo tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
SproutVideo + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the SproutVideo MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query SproutVideo, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed SproutVideo as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query SproutVideo on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using SproutVideo tools alongside other MCP servers
Example Prompts for SproutVideo in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with SproutVideo immediately.
"List all videos in SproutVideo."
"Show me the video engagement analytics for all published videos with viewer retention data."
"Create a new playlist called Product Tutorials and add the top 5 most viewed tutorial videos."
Troubleshooting SproutVideo MCP Server with Mastra AI
Common issues when connecting SproutVideo to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpSproutVideo + Mastra AI FAQ
Common questions about integrating SproutVideo MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.