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Rendi MCP Server for Mastra AIGive Mastra AI instant access to 11 tools to Convert Video To Audio, Delete File, Ffprobe, and more

Built by Vinkius GDPR 11 Tools SDK

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

typescript
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();
Rendi
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

convert_video_to_audio

Quickly convert a video to audio

delete_file

Delete a file from Rendi storage

ffprobe

Analyze a media file using ffprobe

generate_thumbnail

Generate a thumbnail from a video

get_command_status

Once completed, it provides the storage URL for output files. Get status of an FFmpeg command

get_file_details

Get details for a stored file

get_file_info

Get metadata and details for a specific file

list_commands

List all submitted FFmpeg commands

list_files

List all files in Rendi storage

run_chained_ffmpeg_commands

Run multiple chained FFmpeg commands

run_ffmpeg_command

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.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 11 tools from Rendi via MCP

Why Use Mastra AI with the Rendi MCP Server

Mastra AI provides unique advantages when paired with Rendi through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Rendi without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Rendi tool response with IDE autocomplete and compile-time checks

04

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.

01

Automated workflows: build multi-step agents that query Rendi, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Rendi as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Rendi on a cron and store results in your database automatically

04

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.

01

"Analyze this media file for technical metadata: https://example.com/video.mp4"

02

"Convert this MP4 video to WebM format with H265 encoding and reduce the file size by 50%."

03

"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.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Rendi + Mastra AI FAQ

Common questions about integrating Rendi MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.