ByteNite MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect ByteNite through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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: {
"bytenite": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "ByteNite Agent",
instructions:
"You help users interact with ByteNite " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with ByteNite?"
);
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 ByteNite MCP Server
Connect your ByteNite account to any AI agent and orchestrate your video encoding workflows, distributed computing tasks, and media processing through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and ByteNite tool infrastructure. Connect 10 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
- Encoding Oversight — List all video encoding jobs and retrieve detailed metadata, progress, and output URLs.
- Job Automation — Trigger new encoding tasks using pre-defined templates directly from your workspace.
- Template Management — List all available encoding templates to ensure consistent video quality across your projects.
- App Ecosystem — Access and list available apps within the ByteNite ecosystem for specialized processing tasks.
- System Monitoring — Retrieve real-time system information and health status of the ByteNite infrastructure.
- Account Statistics — Access your profile statistics and storage bucket configurations straight from your workspace.
The ByteNite MCP Server exposes 10 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.
How to Connect ByteNite to Mastra AI via MCP
Follow these steps to integrate the ByteNite MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from ByteNite via MCP
Why Use Mastra AI with the ByteNite MCP Server
Mastra AI provides unique advantages when paired with ByteNite through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add ByteNite 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 ByteNite 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
ByteNite + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the ByteNite MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query ByteNite, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed ByteNite as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query ByteNite on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using ByteNite tools alongside other MCP servers
ByteNite MCP Tools for Mastra AI (10)
These 10 tools become available when you connect ByteNite to Mastra AI via MCP:
create_encoding_job
Start a new video encoding job
get_account_info
Retrieve core account/profile statistics
get_app
Get details of a specific app
get_encoding_job
Get details and progress of a specific encoding job
get_system_info
Retrieve core system information and health
get_template
Get details of a specific encoding template
list_apps
List all available apps in the ByteNite ecosystem
list_encoding_jobs
List all video encoding jobs
list_storage_buckets
List all configured storage buckets
list_templates
List all encoding templates
Example Prompts for ByteNite in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with ByteNite immediately.
"List all my current video encoding jobs in ByteNite."
"Show the available encoding templates."
"Encode video https://example.com/source.mp4 using template temp_123."
Troubleshooting ByteNite MCP Server with Mastra AI
Common issues when connecting ByteNite to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpByteNite + Mastra AI FAQ
Common questions about integrating ByteNite 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.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect ByteNite with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ByteNite to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.