Rendi MCP Server for Mastra AIGive Mastra AI instant access to 11 tools to Convert Video To Audio, Delete File, Ffprobe, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Rendi 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 Rendi app connector for Mastra AI is a standout in the Industry Titans 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: {
"rendi": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Rendi Agent",
instructions:
"You help users interact with Rendi " +
"using 11 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Rendi?"
);
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 Rendi MCP Server
Connect your Rendi account to any AI agent and take full control of your cloud-based media processing and FFmpeg orchestration through natural conversation. Rendi provides a serverless platform for executing professional video and audio commands, allowing you to convert formats, generate thumbnails, and probe media metadata directly from your chat interface.
Mastra's agent abstraction provides a clean separation between LLM logic and Rendi 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
- FFmpeg Command Orchestration — Run any standard FFmpeg command in the cloud programmatically without managing server infrastructure.
- Media Format Intelligence — Convert videos to audio, generate GIFs, and create thumbnails directly from the AI interface using simple natural language.
- Chained Workflow Control — Execute multiple media commands in a single request to automate complex processing pipelines.
- FFprobe & Metadata Analysis — Analyze media files and retrieve technical metadata to ensure your assets meet professional standards.
- Operational Monitoring — Track system activity and manage temporary cloud storage files using simple AI commands.
The Rendi 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 Rendi tools available for Mastra AI
When Mastra AI connects to Rendi through Vinkius, your AI agent gets direct access to every tool listed below — spanning ffmpeg, media-processing, video-transcoding, 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.
Quickly convert a video to audio
Delete a file from Rendi storage
Analyze a media file using ffprobe
Generate a thumbnail from a video
Once completed, it provides the storage URL for output files. Get status of an FFmpeg command
Get details for a stored file
Get metadata and details for a specific file
List all submitted FFmpeg commands
List all files in Rendi storage
Run multiple chained FFmpeg commands
Returns a command ID to poll for status. Run a single FFmpeg command in the cloud
Connect Rendi to Mastra AI via MCP
Follow these steps to wire Rendi 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 Rendi MCP Server
Mastra AI provides unique advantages when paired with Rendi through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Rendi 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 Rendi 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
Rendi + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Rendi MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Rendi, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Rendi as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Rendi on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Rendi tools alongside other MCP servers
Example Prompts for Rendi in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Rendi immediately.
"Analyze this media file for technical metadata: https://example.com/video.mp4"
"Convert this MP4 video to WebM format with H265 encoding and reduce the file size by 50%."
"Analyze the media properties of the uploaded video file and show me all codec and stream details."
Troubleshooting Rendi MCP Server with Mastra AI
Common issues when connecting Rendi to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpRendi + Mastra AI FAQ
Common questions about integrating Rendi 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.