Gumlet MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Create Collection, Create Video Upload, Delete Video, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Gumlet 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 Gumlet app connector for Mastra AI is a standout in the Image Video 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 { 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: {
"gumlet": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Gumlet Agent",
instructions:
"You help users interact with Gumlet " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Gumlet?"
);
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 Gumlet MCP Server
Connect your Gumlet account to any AI agent and take full control of your video hosting and image optimization workflows through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Gumlet tool infrastructure. Connect 12 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 Lifecycle — Manage the complete video lifecycle from creating new uploads and retrieving metadata to monitoring transcoding status
- Media Organization — Create and manage collections/folders programmatically to maintain a structured media library
- Visual Control — Automate thumbnail updates by selecting specific video frames or time offsets for perfect visual representation
- Optimization Insights — Monitor real-time video analytics, viewing metrics, and bandwidth usage for every asset in your account
- Image Source Management — List and manage image optimization sources and organization users to ensure high-fidelity delivery
The Gumlet MCP Server exposes 12 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 12 Gumlet tools available for Mastra AI
When Mastra AI connects to Gumlet through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-hosting, image-optimization, cdn-delivery, 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.
Add new folder
Upload new video
Remove video asset
Get profile details
Check video stats
Check video status
List image optimized sources
List team members
List folders
List video assets
Get active webhooks
Set thumbnail offset
Connect Gumlet to Mastra AI via MCP
Follow these steps to wire Gumlet 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 Gumlet MCP Server
Mastra AI provides unique advantages when paired with Gumlet through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Gumlet 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 Gumlet 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
Gumlet + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Gumlet MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Gumlet, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Gumlet as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Gumlet on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Gumlet tools alongside other MCP servers
Example Prompts for Gumlet in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Gumlet immediately.
"Create a new video upload in collection 'col_123' titled 'Annual Report 2026'."
"Check the transcoding status of video 'asset_987'."
"Show me the viewing stats for my latest product video."
Troubleshooting Gumlet MCP Server with Mastra AI
Common issues when connecting Gumlet to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpGumlet + Mastra AI FAQ
Common questions about integrating Gumlet 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.