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ClaudeWave

Official MCP server for Rendobar. Lets AI agents run serverless media processing and upload local files from Claude, Cursor, and more.

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Last scanned: 6/11/2026
Install in Claude Code / Claude Desktop
Method: NPX · @rendobar/mcp
Claude Code CLI
claude mcp add mcp -- npx -y @rendobar/mcp
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "mcp": {
      "command": "npx",
      "args": ["-y", "@rendobar/mcp"],
      "env": {
        "RENDOBAR_API_KEY": "<rendobar_api_key>"
      }
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
Detected environment variables
RENDOBAR_API_KEY
Casos de uso

Resumen de MCP Servers

<p align="center">
  <a href="https://rendobar.com">
    <picture>
      <source media="(prefers-color-scheme: dark)" srcset="https://cdn.rendobar.com/assets/brand/logo-mark.svg">
      <img alt="Rendobar" src="https://cdn.rendobar.com/assets/brand/logo-mark-black.svg" width="80">
    </picture>
  </a>
</p>

<h1 align="center">@rendobar/mcp</h1>

<p align="center">
  <strong>Serverless media processing for AI agents.</strong><br>
  The official Model Context Protocol server for Rendobar.
</p>

<p align="center">
  <a href="https://rendobar.com">Website</a> &nbsp;·&nbsp;
  <a href="https://rendobar.com/docs/mcp/">MCP docs</a> &nbsp;·&nbsp;
  <a href="https://www.npmjs.com/package/@rendobar/mcp">npm</a> &nbsp;·&nbsp;
  <a href="https://discord.gg/kAGqjBzx8N">Discord</a>
</p>
      <p align="center">
       <a href="https://glama.ai/mcp/servers/kwdj3f0u3z">
        <img src="https://glama.ai/mcp/servers/kwdj3f0u3z/badge" alt="Rendobar MCP server on Glama" width="380">
      </a>
      </p>
<p align="center">
  <a href="https://www.npmjs.com/package/@rendobar/mcp"><img src="https://img.shields.io/npm/v/@rendobar/mcp?style=flat-square&color=059669&label=npm" alt="npm version"></a>
  <a href="https://www.npmjs.com/package/@rendobar/mcp"><img src="https://img.shields.io/npm/dm/@rendobar/mcp?style=flat-square&color=059669" alt="npm downloads"></a>
  <img src="https://img.shields.io/npm/l/@rendobar/mcp?style=flat-square&color=059669" alt="MIT license">
  <img src="https://img.shields.io/node/v/@rendobar/mcp?style=flat-square&color=059669" alt="Node version">
</p>


`@rendobar/mcp` is the official Model Context Protocol server for [Rendobar](https://rendobar.com). It lets AI agents in Claude Desktop, Cursor, Cline, Windsurf, Zed, VS Code, Claude Code, and Continue submit Rendobar jobs and upload local files in a single tool call.

The difference from the hosted MCP at `api.rendobar.com`: this server runs locally, so it can read and upload files straight from your machine. An agent can take a video on your disk, run an FFmpeg job on it, and hand back the result without you touching a browser.

## Install

### Fastest: Claude Code, no API key

Claude Code can connect to Rendobar's hosted MCP over OAuth. No key to copy, no config file to edit — your browser opens once to approve:

```bash
claude mcp add --transport http rendobar https://api.rendobar.com/mcp
```

The hosted server cannot read files on your disk. If you want an agent to upload local files (the reason this package exists), use the local stdio server below instead.

### Local stdio server (this package)

You don't install it. Configure your MCP client to spawn it via `npx`.

#### Get an API key

Sign up at [app.rendobar.com](https://app.rendobar.com) → Settings → API Keys.

#### Claude Code (terminal)

```bash
claude mcp add rendobar -s user --env RENDOBAR_API_KEY=rb_... -- npx -y @rendobar/mcp
```

Already ran `rb login` with the Rendobar CLI? Drop the `--env` part — the server reads the credentials file automatically.

#### Claude Desktop

Edit `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) or `%APPDATA%\Claude\claude_desktop_config.json` (Windows):

```json
{
  "mcpServers": {
    "rendobar": {
      "command": "npx",
      "args": ["-y", "@rendobar/mcp"],
      "env": { "RENDOBAR_API_KEY": "rb_..." }
    }
  }
}
```

Restart Claude Desktop.

#### Cursor

Edit `~/.cursor/mcp.json` or `<project>/.cursor/mcp.json`. Same schema as Claude Desktop.

#### Cline (VS Code extension)

Open Cline's MCP panel → Configure → paste the same `mcpServers` block.

#### Windsurf

Edit `~/.codeium/windsurf/mcp_config.json`. Same schema.

#### Zed

Edit `~/.config/zed/settings.json`:

```json
{
  "context_servers": {
    "rendobar": {
      "source": "custom",
      "command": "npx",
      "args": ["-y", "@rendobar/mcp"],
      "env": { "RENDOBAR_API_KEY": "rb_..." }
    }
  }
}
```

#### VS Code (1.101+)

Edit `.vscode/mcp.json`:

```json
{
  "servers": {
    "rendobar": {
      "command": "npx",
      "args": ["-y", "@rendobar/mcp"],
      "env": { "RENDOBAR_API_KEY": "${input:rendobarKey}" }
    }
  },
  "inputs": [{ "id": "rendobarKey", "type": "promptString", "password": true, "description": "Rendobar API Key" }]
}
```

#### Continue

Create `.continue/mcpServers/rendobar.yaml`:

```yaml
type: stdio
command: npx
args: ["-y", "@rendobar/mcp"]
env:
  RENDOBAR_API_KEY: rb_...
```

## Tools

| Tool | Purpose |
|---|---|
| `upload_file` | Upload a local file. Returns a download URL to use in `submit_job`. |
| `submit_job` | Submit any Rendobar job. Its description lists the active job types. |
| `get_job` | Fetch job status + result. Pass `wait: true` to long-poll until the job finishes (~50s cap, then returns a snapshot). |
| `list_jobs` | List recent jobs. |
| `cancel_job` | Cancel a waiting/dispatched job. |
| `get_account` | Check balance, plan limits, active job count. |

### Job types

`submit_job` takes a `type`. The active types:

| `type` | What it does |
|---|---|
| `ffmpeg` | Run any FFmpeg command (transcode, trim, mux, filter, concat). |
| `captions.animate` | Burn animated word-level captions onto a video (Hormozi / MrBeast / TikTok / pill presets). |
| `caption.burn` | Burn static styled subtitles from an SRT/VTT/ASS file, or auto-transcribe when none is given. |

### Example

A typical exchange once the server is configured in your client:

> **You:** Mute the first 3 seconds of `~/clips/intro.mp4` and save it.

The agent runs, in order:

```jsonc
// 1. Stage the local file → returns a hosted download URL
upload_file { "path": "~/clips/intro.mp4" }
// → { "downloadUrl": "https://cdn.rendobar.com/u/abc123/intro.mp4", "sizeBytes": 4821004 }

// 2. Submit an FFmpeg job that references it
submit_job {
  "type": "ffmpeg",
  "inputs": { "intro.mp4": "https://cdn.rendobar.com/u/abc123/intro.mp4" },
  "params": { "command": "-i intro.mp4 -af \"volume=enable='lt(t,3)':volume=0\" -c:v copy out.mp4" }
}
// → { "jobId": "job_9f2a", "status": "waiting" }

// 3. Poll until done
get_job { "jobId": "job_9f2a" }
// → { "status": "complete", "cost": "$0.01", "output": { "file": { "url": "https://cdn.rendobar.com/o/job_9f2a/out.mp4", "type": "video" } } }
```

> **Agent:** Done — muted the first 3 seconds. Output: https://cdn.rendobar.com/o/job_9f2a/out.mp4

Auto-caption a clip with animated word-level captions — no subtitle file needed:

```jsonc
submit_job {
  "type": "captions.animate",
  "inputs": { "clip.mp4": "https://cdn.rendobar.com/u/abc123/clip.mp4" },
  "params": { "preset": "hormozi" }
}
// → { "jobId": "job_7c1b", "status": "waiting" }
```

The server advertises its tools even before an API key is configured, so clients
and directories can list them; calls that need the API return a clear error until
`RENDOBAR_API_KEY` is set.

## Local vs hosted MCP

| | `@rendobar/mcp` (this package) | Hosted MCP (`api.rendobar.com`) |
|---|---|---|
| Transport | stdio, spawned by your client | Streamable HTTP |
| Local file upload | Yes, the whole point | No, server has no disk |
| Setup | `npx` line in a config file | OAuth in the browser (`claude mcp add --transport http`), or a Bearer API key |
| Best for | Claude Desktop, Cursor, Cline, Zed, local agents | claude.ai web, ChatGPT, hosted gateways |

## Authentication

Three sources, first match wins:

1. `--api-key=<key>` flag
2. `RENDOBAR_API_KEY` environment variable
3. `~/.config/rendobar/credentials.json` (Unix) / `%APPDATA%\rendobar\credentials.json` (Windows), written by Rendobar CLI's `rb login` (CLI v1.1+)

## Troubleshooting

### Cursor on macOS (Dock launch) can't find npx

Cursor launched from the Dock has the GUI PATH, not the shell PATH. Use the absolute path to `npx` in your `mcp.json`:

```json
"command": "/Users/you/.nvm/versions/node/v20.x/bin/npx"
```

### Windows: `npx` not found

Use `"command": "npx.cmd"` instead of `"command": "npx"` if your client doesn't auto-resolve.

### Server fails to start

Check logs in your client's output panel. The server writes JSON lines to stderr. Look for entries with `level: "error"`.

### Tools list but calls fail with "No Rendobar API key configured"

Expected when no key is set — the server starts and advertises its tools so clients can list them, but tool calls need an API key. Set `RENDOBAR_API_KEY` (or `--api-key`, or run `rb login`). On startup without a key the server logs a `no_api_key` warning to stderr.

## Telemetry

The server sends anonymous usage analytics (via PostHog's MCP Analytics SDK) so we can see how agents use it and make it better. Each tool call reports the tool name, whether it succeeded, how long it took, and the agent's stated intent.

It does not send your tool parameters or responses. Those (file URLs, job configs, outputs) are stripped before anything leaves the process. Events are anonymous: no account identity, no person profile.

It is off in CI automatically. To turn it off anywhere, set an environment variable:

```bash
DO_NOT_TRACK=1        # or RENDOBAR_TELEMETRY=0
```

## Contributing

See [CONTRIBUTING.md](./CONTRIBUTING.md). For AI-assisted development, see [AGENTS.md](./AGENTS.md) and [CLAUDE.md](./CLAUDE.md).

## License

MIT
ai-agentsapiclaudecursordeveloper-toolsffmpegmcpmedia-processingmodel-context-protocolrendobarserverlessvideo

Lo que la gente pregunta sobre mcp

¿Qué es rendobar/mcp?

+

rendobar/mcp es mcp servers para el ecosistema de Claude AI. Official MCP server for Rendobar. Lets AI agents run serverless media processing and upload local files from Claude, Cursor, and more. Tiene 1 estrellas en GitHub y se actualizó por última vez today.

¿Cómo se instala mcp?

+

Puedes instalar mcp clonando el repositorio (https://github.com/rendobar/mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar rendobar/mcp?

+

Nuestro agente de seguridad ha analizado rendobar/mcp y le ha asignado un Trust Score de 87/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene rendobar/mcp?

+

rendobar/mcp es mantenido por rendobar. La última actividad registrada en GitHub es de today, con 2 issues abiertos.

¿Hay alternativas a mcp?

+

Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.

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