Valmera — agentic AI video editor
io.valmera由 valmera.io 發布官方發布者v0.2.0更新於 Oct 27, 2026
AI video editor for real footage: cut, caption, reframe, add music and b-roll, preview, export MP4.
概覽
託管式 AI 影片剪輯伺服器,讓助理對你上傳到 Valmera 的素材進行剪接、上字幕、改畫幅、配樂並匯出 MP4。
- 可以做什麼
- 找出並剪掉靜音、口頭禪與轉錄片段,也能還原已剪內容
- 加入逐字字幕、字幕樣式與字幕檢查
- 自動改為直式、設定畫面、推近與加入變焦
- 把長影片做成短影音,並加入 B-roll、素材庫畫面、音樂與音效
- 模糊或擦除區域與畫面內嵌文字,套用調色
- 算圖預覽、檢視畫面影格、匯出並下載最終 MP4
- 適用情境
- 適合已有錄製素材、希望由助理從頭到尾完成剪輯的情況,例如整理口播或播客錄音、製作直式短影音、加上字幕與配樂、把長影片拆成多個片段。它不是文字生成影片的工具。
- 執行需求
- 遠端 Streamable HTTP 端點,透過 OAuth 登入(或使用 bearer token),不需本機安裝。需要 Valmera 帳號,上傳免費,剪輯需付費訂閱。僅支援 stdio 的用戶端需搭配 mcp-remote 之類的橋接工具。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Valmera — agentic AI video editor,將其新增到工作區。
- 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/io.valmera%2Fvideo-editor/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。
{
"mcpServers": {
"valmera-agentic-ai-video-editor": {
"type": "http",
"url": "https://valmera.io/mcp/server"
}
}
}README
Valmera MCP server — the video editing MCP server for real footage
Valmera is an agentic AI video editor. This hosted Model Context Protocol 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.
- Product: valmera.io
- Setup for every client: valmera.io/mcp/setup
- Tool reference: valmera.io/mcp/tools
- Live server card: /.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.
Claude Code
Then run /mcp inside Claude Code and choose Authenticate. Guide.
Cursor — ~/.cursor/mcp.json
VS Code (GitHub Copilot agent mode) — .vscode/mcp.json
Windsurf — ~/.codeium/windsurf/mcp_config.json
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.
Codex CLI
Or add [mcp_servers.valmera] with url = "https://valmera.io/mcp/server" to ~/.codex/config.toml.
Gemini CLI
Then open Gemini CLI, run /mcp auth valmera and sign in.
Any stdio-only client
There are more clients (Zed, Cline, Continue, Goose, LibreChat, MCP Inspector) in 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, turn-long-video-into-shorts and website-demo-video.
In Claude Code:
In claude.ai, go to Customize → Plugins → Add → Add marketplace and enter ABO3SKRALMASAOODI/valmera-mcp. The skills follow the open Agent Skills 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.
How it works
- Upload. Upload in Valmera Studio, import a link, or use
upload_startandupload_finishfrom a client that can send files. MP4, MOV, M4V, MKV and WebM are accepted, up to 14 GB and 3 hours per file. - Index. Valmera transcribes the footage with word-level timestamps and detects shots, silences and on-screen text.
index_statusreports progress. - 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.
- Review.
render_previewrenders a fast proxy preview.watch_videoandlook_atlet the assistant inspect the frames it produced before it reports back. - Export.
export_finalrenders a full-resolution H.264 MP4 from the original file for the reviewed version.download_urlreturns 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
There are 40+ more in 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. 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 for collection, retention and deletion. Contact: [email protected].
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. See 21 video editing MCP servers compared, covering hosted editors, clippers such as OpusClip, local editors such as Palmier Pro, DaVinci Resolve, Premiere Pro and After Effects bridges, and FFmpeg 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 support stdio can use mcp-remote.
Is the original file changed? No. Edits live in a versioned EDL, and the final export renders from the untouched original.
Is Valmera open source? This repository's documentation and manifests are MIT licensed. Valmera itself is a hosted commercial service governed by its terms.
Links
- Valmera — agentic AI video editor
- What is MCP video editing?
- Best agentic video editors in 2026
- Edit video with Claude · Edit video with ChatGPT
- Agent workflow walkthrough
- Directory and registry maintenance
- Product summary for LLMs
Questions or issues: open an issue here or email [email protected].
來源:README.md,提交 9e75d19
工具
0版本歷史
2- v0.2.0最新Oct 5, 2026
- v0.1.1Sep 16, 2026
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