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ClaudeWave

MCP server for Vidofy — generate video, images, audio and speech from Claude, ChatGPT, Cursor, Codex or any MCP client. Veo 3.1, Kling 3.0, Flux 2, Seedance 2.5 and 570+ models, billed to your own Vidofy account.

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ClaudeWave Trust Score
95/100
Verified
Passed
  • Open-source license (MIT)
  • Actively maintained (<30d)
  • Clear description
  • Topics declared
  • Documented (README)
Last scanned: 9/16/2026
Install in Claude Code / Claude Desktop
Method: Manual
Claude Code CLI
git clone https://github.com/vidofy/mcp
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "mcp": {
      "command": "node",
      "args": ["/path/to/mcp/dist/index.js"]
    }
  }
}
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.
💡 Clone https://github.com/vidofy/mcp and follow its README for install instructions.
Casos de uso

Resumen de MCP Servers

# @vidofy/mcp

[![npm](https://img.shields.io/npm/v/@vidofy/mcp?color=cb3837&logo=npm)](https://www.npmjs.com/package/@vidofy/mcp)
[![node](https://img.shields.io/badge/node-%E2%89%A518-5fa04e?logo=node.js&logoColor=white)](https://nodejs.org)
[![licence](https://img.shields.io/badge/licence-MIT-blue)](./LICENSE)
[![MCP](https://img.shields.io/badge/Model_Context_Protocol-server-6f42c1)](https://modelcontextprotocol.io)

**MCP server for [Vidofy](https://vidofy.ai)** — generate images, video, audio and speech from
Claude Desktop, Cursor, or any MCP client, **billed to your own Vidofy account**, at the same
prices the website charges.

Over 570 models, including **Veo 3.1**, **Kling 3.0**, **Flux 2**, **Seedance 2.5**, **Wan 2.7**,
**Hailuo 2.3**, **Runway**, **Luma Ray 2**, **Qwen Image 3.0**, **Vidu Q3** and **LTX 2** —
text-to-video, image-to-video, text-to-image, image editing, video and photo effects, lipsync,
text-to-speech and voice cloning. The agent browses the catalogue, prices a generation before
running it, and follows one to its result.

> **Status: v0.1.0, the first public release.**
>
> **This server is for personal Vidofy accounts.** It takes one credential,
> `VIDOFY_TOKEN`, and spends **your own coins** — the same balance the website
> spends, at the same prices. There is no other billing mode: `VIDOFY_API_KEY` is
> refused at startup, and that is a decision, not a feature waiting on a release.

## Tools

| Tool | What it does | Spends |
|---|---|---|
| `list_modes` | What Vidofy can generate: text-to-image, image-to-video, lipsync, speech… | no |
| `list_models` | The models in one mode, with each one's credit cost and rough duration | no |
| `get_model` | One model's full input contract: a JSON Schema, its file slots and their limits | no |
| `estimate_cost` | What a generation will cost, before running it | no |
| **`generate`** | **Runs it. The only tool that spends the balance.** | **yes** |
| `get_status` | Whether a generation has finished | no |
| `get_result` | The finished media | no |
| `get_balance` | Coins left, and how many expire with the subscription | no |
| `get_usage` | Recent generations and what they cost | no |

The usual order is `list_modes` → `list_models` → `get_model` → `estimate_cost` → `generate`
→ `get_status` → `get_result`.

`generate` is the only tool without `readOnlyHint`, which is what tells a client to ask the user
before running it. It charges at **submit**, not on success, and returns immediately with an id —
a generation takes from ~30 seconds to several minutes, so the agent polls `get_status` rather
than holding the call open. Output is **private by default**; pass `public: true` only when the
user asked for a permanent public link.

File inputs take a **path on the machine running the server**. The package reads the user's own
file and streams it with the submit — it never makes a temporary copy — and checks the extension
and size against that model's own limits first, so a file the server would reject never leaves
the disk.

**Not exposed, deliberately:** checkout, auto top-up, purchases, referrals, the daily reward.
Nothing in this package can buy coins or change a plan, however it is prompted.

## Setup

There are two ways in. **Take the first one** unless your client cannot do it.

### 1. Remote connector — nothing to install

Give your client this URL:

```
https://vidofy.ai/mcp-app
```

You sign in **in your browser** and approve once. No token to copy, nothing to keep in a
config file, and nothing to update when this package changes.

| Client | How |
|---|---|
| **Claude.ai** · **Claude Desktop** | Settings → Connectors → *Add custom connector* → paste the URL → **Connect**, then approve the sign-in. They share one list: add it in either and it appears in both. Available on every plan, including Free — where you get one connector. |
| **ChatGPT** | Settings → Connectors → add a custom connector (no such option? turn on Developer Mode in Settings first) → paste the URL → **Connect**, then approve. On a Business or Enterprise workspace an administrator adds it for everyone. |
| **Claude Code** · **Codex** · **Cursor** | Each accepts a remote MCP server URL. Follow that client's own MCP documentation and give it the URL above. |

Then ask it: *"list Vidofy modes"* to confirm the connection, and
*"make me a 5-second clip of a red bicycle"* — it prices the generation before running it.

### 2. Local stdio server — for a client that only speaks stdio

Create a personal MCP token at **vidofy.ai → Studio → Account → MCP Access**. It is shown once.

```jsonc
// claude_desktop_config.json   (Cursor: .cursor/mcp.json — same shape)
{
  "mcpServers": {
    "vidofy": {
      "command": "npx",
      "args": ["-y", "@vidofy/mcp"],
      "env": { "VIDOFY_TOKEN": "vmt_..." }
    }
  }
}
```

`npx` fetches it on first run. Prefer a pinned copy? `npm i -g @vidofy/mcp`, then:

```jsonc
{ "command": "vidofy-mcp", "env": { "VIDOFY_TOKEN": "vmt_..." } }
```

Both paths reach the same account, the same models and the same balance. The difference is
only where the process runs and how you prove who you are.

### Environment

| Variable | Required | What it does |
|---|---|---|
| `VIDOFY_TOKEN` | **yes** | Personal MCP token (`vmt_…`). Spends **your own Vidofy coins**, exactly as the studio does. |
| `VIDOFY_API_BASE` | no | Override the origin the server talks to — an **origin only**, no path. Defaults to `https://vidofy.ai`, which is what you want. |

`VIDOFY_API_KEY` is recognised only in order to be **refused**: a `vky_…` key bills a
different balance, which this server does not serve. Setting it stops startup with a message
naming the token to use instead — and setting *both* is refused too, since the two bill
different balances and no precedence rule is worth having to remember.

## Development

```bash
npm install
npm run build
npm run inspect      # MCP Inspector — spends nothing
```

`VIDOFY_API_BASE` points it at a different origin, if you are running one.

**Nothing here writes to stdout.** With stdio transport, stdout *is* the protocol channel — a
single stray `console.log()` puts a non-JSON line in the stream and the client drops the
connection with an error that explains nothing. Diagnostics go to stderr via the `log()` helper
in `src/index.ts`.

## Layout

```
src/config.ts          credential + mode + base URL, validated at startup
src/backend.ts         the only place that talks HTTP: auth, retries, multipart, errors
src/schema.ts          one model's m_options → a JSON Schema the agent can fill in
src/map/b2c.ts         both response shapes → one; strips the provider cost
src/tools/info.ts      list_modes, list_models, get_model
src/tools/generation.ts estimate_cost, generate, get_status, get_result
src/tools/account.ts   get_balance, get_usage
src/index.ts           the server: stdio transport, tool registration, annotations


server.json     MCP registry manifest (name must match package.json "mcpName")
```

## Licence

MIT
aiai-agentchatgptclaudeclaude-aicodexcursorcursor-aifluxgenerative-aiimage-generation-aiimage-generatorklingkling-aimcpmcp-clientmcp-servermodel-context-protocolveovideo-generation

Lo que la gente pregunta sobre mcp

¿Qué es vidofy/mcp?

+

vidofy/mcp es mcp servers para el ecosistema de Claude AI. MCP server for Vidofy — generate video, images, audio and speech from Claude, ChatGPT, Cursor, Codex or any MCP client. Veo 3.1, Kling 3.0, Flux 2, Seedance 2.5 and 570+ models, billed to your own Vidofy account. Tiene 1 estrellas en GitHub y su última actualización registrada es del 2026-09-15.

¿Cómo se instala mcp?

+

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

¿Es seguro usar vidofy/mcp?

+

Nuestro agente de seguridad ha analizado vidofy/mcp y le ha asignado un Trust Score de 95/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene vidofy/mcp?

+

vidofy/mcp es mantenido por vidofy. La última actividad registrada en GitHub es del 2026-09-15, con 0 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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