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ClaudeWave

Agentic AI video editor for Claude over MCP — cut silences and filler words, word-timed captions, reframe to 9:16, music, colour, and full-quality export on your own footage.

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Last scanned: 10/6/2026
Install in Claude Code / Claude Desktop
Method: Manual
Claude Code CLI
git clone https://github.com/ABO3SKRALMASAOODI/valmera-mcp
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "valmera-mcp": {
      "command": "node",
      "args": ["/path/to/valmera-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/ABO3SKRALMASAOODI/valmera-mcp and follow its README for install instructions.
Casos de uso

Resumen de MCP Servers

# Valmera MCP server — the video editing MCP server for real footage

**Valmera** is an agentic AI video editor. This hosted [Model Context Protocol](https://modelcontextprotocol.io) server lets Claude, ChatGPT, Gemini CLI, Cursor, VS Code, Codex or any MCP client edit video you already recorded. The assistant reads the transcript and frames, then cuts silences and filler words, adds word-timed captions, reframes to 9:16, adds b-roll, music and sound effects, and makes shorts from long videos. It renders a preview, watches the result, and exports a full-quality MP4 from your original file.

It is not a text-to-video generator. It edits the footage you upload.

```text
Endpoint   https://valmera.io/mcp/server
Transport  Streamable HTTP
Auth       OAuth 2.1 (dynamic client registration + PKCE S256), or a bearer token from https://valmera.io/mcp
Registry   io.valmera/video-editor
```

- **Product:** [valmera.io](https://valmera.io)
- **Setup for every client:** [valmera.io/mcp/setup](https://valmera.io/mcp/setup)
- **Tool reference:** [valmera.io/mcp/tools](https://valmera.io/mcp/tools)
- **Live server card:** [/.well-known/mcp/server-card.json](https://valmera.io/.well-known/mcp/server-card.json)

## Connect in one minute

### Claude (claude.ai and Claude Desktop)

Settings → Connectors → **Add custom connector** → name it `Valmera`. Paste `https://valmera.io/mcp/server` and sign in when prompted. [Step-by-step guide](https://valmera.io/mcp/claude).

### Claude Code

```sh
claude mcp add --transport http valmera https://valmera.io/mcp/server
```

Then run `/mcp` inside Claude Code and choose **Authenticate**. [Guide](https://valmera.io/mcp/claude-code).

### Cursor — `~/.cursor/mcp.json`

```json
{
  "mcpServers": {
    "valmera": { "url": "https://valmera.io/mcp/server" }
  }
}
```

### VS Code (GitHub Copilot agent mode) — `.vscode/mcp.json`

```json
{
  "servers": {
    "valmera": { "type": "http", "url": "https://valmera.io/mcp/server" }
  }
}
```

### Windsurf — `~/.codeium/windsurf/mcp_config.json`

```json
{
  "mcpServers": {
    "valmera": { "serverUrl": "https://valmera.io/mcp/server" }
  }
}
```

### ChatGPT

Turn on **Developer mode** in Settings, then add a connector with the URL `https://valmera.io/mcp/server` and complete Valmera sign-in. [Guide](https://valmera.io/mcp/chatgpt).

### Codex CLI

```sh
codex mcp add valmera --url https://valmera.io/mcp/server
codex mcp login valmera
```

Or add `[mcp_servers.valmera]` with `url = "https://valmera.io/mcp/server"` to `~/.codex/config.toml`.

### Gemini CLI

```sh
gemini mcp add --transport http valmera https://valmera.io/mcp/server
```

Then open Gemini CLI, run `/mcp auth valmera` and sign in.

### Any stdio-only client

```json
{
  "mcpServers": {
    "valmera": { "command": "npx", "args": ["-y", "mcp-remote", "https://valmera.io/mcp/server"] }
  }
}
```

There are more clients (Zed, Cline, Continue, Goose, LibreChat, MCP Inspector) in [docs/CLIENTS.md](docs/CLIENTS.md).

**First message to try:** *"List my Valmera projects."* An empty list still means the connection works.

## Install as a Claude plugin (connector + editing skills)

This repository is also a Claude plugin. It bundles the Valmera connector with three skills that teach Claude a reliable editing workflow: [edit-video-with-valmera](skills/edit-video-with-valmera/SKILL.md), [turn-long-video-into-shorts](skills/turn-long-video-into-shorts/SKILL.md) and [website-demo-video](skills/website-demo-video/SKILL.md).

In Claude Code:

```sh
/plugin marketplace add ABO3SKRALMASAOODI/valmera-mcp
/plugin install valmera@valmera
```

In claude.ai, go to **Customize → Plugins → Add → Add marketplace** and enter `ABO3SKRALMASAOODI/valmera-mcp`. The skills follow the open [Agent Skills](https://agentskills.io) format, so other agents that read `SKILL.md` can use them too.

## What your assistant can do with it

According to the live server card on October 6, 2026, the server exposes **143 tools**: 129 editing tools in 9 groups and 14 session tools. The full list is in [docs/TOOLS.md](docs/TOOLS.md).

| You ask for | Tools the assistant uses |
| --- | --- |
| "Remove the dead air and the ums" | `find_silences`, `cut_silences`, `remove_filler_words`, `get_kept_transcript` |
| "Cut the part where I talk about pricing" | `search_transcript`, `cut_range`, `restore_range` |
| "Add bold word-by-word captions" | `add_captions`, `set_caption_style`, `set_caption_fixes`, `audit_captions` |
| "Make it vertical for TikTok and keep my face centered" | `auto_reframe`, `set_frame`, `add_aspect_shift` |
| "Turn this podcast into 5 shorts" | `make_shorts`, `shorts_status`, `open_short`, `apply_short_edit_batches` |
| "Add b-roll where I mention the product" | `research_broll`, `search_stock`, `add_stock_media`, `insert_media` |
| "Punch in on the important lines" | `suggest_emphasis`, `punch_in_on_emphasis`, `add_zoom`, `add_zoom_path` |
| "Put my track (or a song I name) under my voice" | `find_song`, `fetch_url`, `add_music`, `set_music_fit`, `beat_align_cuts`, `set_master_loudness` |
| "Add a whoosh on each transition" | `search_sfx`, `audition_sfx_candidates`, `add_sfx` |
| "Record a demo of my website" | `record_website`, `record_website_demo`, `enhance_cursor`, `showcase_demo` |
| "Blur the license plate" / "remove the burned-in subtitles" | `blur_region`, `find_burned_text`, `erase_burned_text`, `erase_region` |
| "Color grade it warmer" | `set_color_grade`, `apply_look`, `set_grade_custom` |
| "Show me what you changed" | `render_preview`, `wait_for_job`, `watch_video`, `look_at` |
| "Export the final video" | `export_final`, `wait_for_job`, `download_url` |

## How it works

1. **Upload.** Upload in [Valmera Studio](https://valmera.io), import a link, or use `upload_start` and `upload_finish` from a client that can send files. MP4, MOV, M4V, MKV and WebM are accepted, up to 14 GB and 3 hours per file.
2. **Index.** Valmera transcribes the footage with word-level timestamps and detects shots, silences and on-screen text. `index_status` reports progress.
3. **Edit.** Each tool call writes a new version of a non-destructive **edit decision list (EDL)**. The original upload is never modified, and any cut can be restored.
4. **Review.** `render_preview` renders a fast proxy preview. `watch_video` and `look_at` let the assistant inspect the frames it produced before it reports back.
5. **Export.** `export_final` renders a full-resolution H.264 MP4 from the original file for the reviewed version. `download_url` returns the link. You can also export from Studio.

Slow jobs return a job id and never a fake completion. The assistant calls `wait_for_job` until the job finishes.

## Example prompts

```text
Open my latest project. Remove dead air and filler words but keep natural pauses,
add clean white captions with the active word highlighted, reframe to 9:16,
render a preview and tell me what you changed.
```

```text
This is a 70-minute two-person podcast. Find the 5 strongest self-contained stories,
make each one a vertical short with captions and a hook title, and keep whoever is
speaking in frame.
```

```text
Record a 30-second demo of https://example.com — scroll the hero, click "Pricing",
zoom on the main button — then add captions and light background music.
```

There are 40+ more in [docs/PROMPTS.md](docs/PROMPTS.md).

## What it does not do

The server card lists these honestly so your assistant never promises them:

- Generate a whole video from a text prompt. Valmera edits footage you provide.
- Import or export SRT/VTT. Captions are burned into the picture.
- Team seats or collaboration.
- Publish directly to YouTube or TikTok.
- Custom font uploads, true crossfade/dissolve transitions, or motion-tracked stickers.
- Audio denoise ("studio sound") or AI music generation.
- Hand the job to Valmera's in-house agent. Over MCP, your assistant does the editing with the tools directly.

Editing one project from Studio and over MCP at the same time is refused in both directions.

## Access

Creating an account and uploading are free. Editing requires a subscription; see the current plans at [valmera.io/subscribe](https://valmera.io/subscribe). Your MCP client (Claude, ChatGPT, Cursor and so on) is billed separately by its own provider.

## Data and privacy

The plugin and connector send your editing instructions and tool arguments to Valmera at `https://valmera.io/mcp/server`, over HTTPS and authorized with OAuth. Tools return project data to your AI client: transcript text, analysis, sampled frames, preview and download links. Your footage is stored in your Valmera account and is never modified. Edits are saved as versions you can restore. Nothing is sent to any other destination by this plugin, which contains only configuration and Markdown. See the [privacy policy](https://valmera.io/legal#privacy) for collection, retention and deletion. Contact: support@valmera.io.

## FAQ

**What is the best MCP server for video editing?**
Most video MCP servers either generate clips from prompts or wrap local FFmpeg commands. Valmera is a hosted editor with an editorial model of the footage: a word-level transcript, shots and frames, versioned edits, rendered previews and a final export. Use it when you want an assistant to edit real recordings end to end. [Comparison of video editing MCP servers](https://valmera.io/mcp/video-editing-mcp-servers).

**Can Claude edit videos?**
Yes. Once Valmera is connected, Claude can open your project, read the transcript, look at frames, cut, caption, reframe, add music, render a preview, and export the MP4.

**Can ChatGPT edit videos?**
Yes. Add Valmera as a developer-mode connector and ChatGPT can call the same tools.

**Does the assistant actually see the video?**
Yes. Tools return transcript text, analysis and sampled frames of the source or the rendered edit, so the assistant can check its own work.

**Do I need to install anything?**
No. It is a remote server. Clients that only supp
agentic-aiai-agentai-video-editoranthropiccaptionsclaudeffmpegllm-toolsmcpmcp-servermodel-context-protocoltranscriptionvideovideo-editing

Lo que la gente pregunta sobre valmera-mcp

¿Qué es ABO3SKRALMASAOODI/valmera-mcp?

+

ABO3SKRALMASAOODI/valmera-mcp es mcp servers para el ecosistema de Claude AI. Agentic AI video editor for Claude over MCP — cut silences and filler words, word-timed captions, reframe to 9:16, music, colour, and full-quality export on your own footage. Tiene 0 estrellas en GitHub y su última actualización registrada es del 2026-10-05.

¿Cómo se instala valmera-mcp?

+

Puedes instalar valmera-mcp clonando el repositorio (https://github.com/ABO3SKRALMASAOODI/valmera-mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar ABO3SKRALMASAOODI/valmera-mcp?

+

Nuestro agente de seguridad ha analizado ABO3SKRALMASAOODI/valmera-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 ABO3SKRALMASAOODI/valmera-mcp?

+

ABO3SKRALMASAOODI/valmera-mcp es mantenido por ABO3SKRALMASAOODI. La última actividad registrada en GitHub es del 2026-10-05, con 1 issues abiertos.

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