3,400+ MCP servers ready to use
Vinkius

Rendi MCP Server for WindsurfGive Windsurf instant access to 11 tools to Convert Video To Audio, Delete File, Ffprobe, and more

Built by Vinkius GDPR 11 Tools IDE

Windsurf brings agentic AI coding to a purpose-built IDE. Connect Rendi through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.

Use with Your AI Agent

Ask AI about this App Connector for Windsurf

Open in ChatGPT Open in Claude Open in Perplexity

The Rendi app connector for Windsurf 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

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Rendi and 3,400+ MCP Servers from a single visual interface.

Vinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop Interface
Download Free Open SourceNo signup required
Classic Setup·json
{
  "mcpServers": {
    "rendi": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Rendi
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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.

Windsurf's Cascade agent chains multiple Rendi tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 11 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.

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 Windsurf 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 Windsurf

When Windsurf 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 Windsurf via MCP

Follow these steps to wire Rendi into Windsurf. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
02

Add the server

Paste the JSON configuration above into mcp_config.json
03

Save and reload

Windsurf will detect the new server automatically
04

Start using Rendi

Open Cascade and ask: "Using Rendi, help me...". 11 tools available

Why Use Windsurf with the Rendi MCP Server

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

01

Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention

02

Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively

03

JSON-based configuration means zero code changes: paste a URL, reload, and all 11 tools are immediately available

04

Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts

Rendi + Windsurf Use Cases

Practical scenarios where Windsurf combined with the Rendi MCP Server delivers measurable value.

01

Automated code generation: ask Cascade to fetch data from Rendi and generate models, types, or handlers based on real API responses

02

Live debugging: query Rendi tools mid-session to inspect production data while debugging without leaving the editor

03

Documentation generation: pull schema information from Rendi and have Cascade generate comprehensive API docs automatically

04

Rapid prototyping: combine Rendi data with Cascade's code generation to scaffold entire features in minutes

Example Prompts for Rendi in Windsurf

Ready-to-use prompts you can give your Windsurf 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 Windsurf

Common issues when connecting Rendi to Windsurf through the Vinkius, and how to resolve them.

01

Server not connecting

Check Settings → MCP for the server status. Try toggling it off and on.

Rendi + Windsurf FAQ

Common questions about integrating Rendi MCP Server with Windsurf.

01

How does Windsurf discover MCP tools?

Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.
02

Can Cascade chain multiple MCP tool calls?

Yes. Cascade is an agentic system. it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.
03

Does Windsurf support multiple MCP servers?

Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.