
AutoKeren MCP
io.github.autokeren由 GitHub 账号 autokeren 发布v1.2.0更新于 Oct 26, 2026
AI video studio for agents — script to MP4, b-roll sourcing, Gemini QA. 43 tools.
发布方自己的服务:Auto.dev
概览
托管式 AI 视频工作室,让助手完成脚本、素材生成、素材搜寻、质检并渲染出成片 MP4。
- 可以做什么
- 运行制作流水线:创建项目、载入分镜、生成素材、渲染并校验视频,查看用量与费用估算
- 生成媒体:图片、语音旁白和短视频片段,支持异步轮询
- 研究与取材:搜索并下载 YouTube 视频、索引镜头、剪辑片段、抽取帧
- 用 AI 视觉与质检工具审查成片,包括整片检查与制作评分
- 包装与上传:建议标题、缩略图与 SEO,获取预签名上传地址,渲染动态图形模板或 Remotion 幻灯片
- 适用场景
- 适合希望助手端到端产出完整视频(脚本、旁白、画面、素材取材与最终渲染)而非只写文案的场景。也适合审查或质检已有媒体,以及制作竖屏 Shorts 或数据驱动的动态图形幻灯片。
- 运行要求
- 远程 Streamable HTTP 端点,无需本地安装包。需要在 Authorization 请求头中提供必填的 bearer API 密钥,可从服务商设置页获取。高级模型需要付费额度,但也提供部分免费模型。
安装
在 SourceWeft 中
- 打开 控制台中的 AutoKeren MCP,将其添加到工作区。
- 连接 Authorization token 凭据。它们会被私密存储,绝不会在公开页面上展示。
- 为需要使用其工具的对话启用该服务。
Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
交给智能体安装
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/io.github.autokeren%2Fmcp/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。其他 MCP 客户端
把它添加到你客户端的 mcpServers 配置中。
{
"mcpServers": {
"autokeren": {
"type": "http",
"url": "https://mcp.autokeren.com/",
"headers": {
"Authorization": "Bearer <YOUR_TOKEN>"
}
}
}
}README
AutoKeren MCP — AI Video Studio for Agents
[MCP] [Tools] [Protocol] [Free tier]
Give any AI agent a complete, autonomous video production studio.
AutoKeren MCP turns Claude Code, opencode, Cursor, Codex, or any MCP client into an end-to-end video producer: write the script, generate images, voice the narration, source real YouTube footage, QA the result with Gemini, and ship a finished 1080p MP4 — all from a single MCP server.
- Endpoint:
https://mcp.autokeren.com(Streamable HTTP) - Auth: self-service API keys — studio.autokeren.com/settings
- Agent skill (one URL, everything): mcp.autokeren.com/skill.md
- Landing: mcp.autokeren.com
Quickstart
Claude Code:
opencode (~/.config/opencode/opencode.json):
Cursor / Windsurf (MCP Settings → JSON):
Any HTTP client:
Then just tell your agent: "Read https://mcp.autokeren.com/skill.md and follow it."
The 54 Tools
Why agents love it
- Verified uploads everywhere — every media URL the server returns is HEAD-verified in R2 (
verified: true);set_scene_mediahard-rejects dead URLs (404/410). No more silent AI-image fallbacks. - Auto-refund on failure — credits never leak on failed generations; the ledger records every refund with a reason.
- Honest QA —
check_videoreportsmedia_type_report: which time ranges contain real moving footage vs still images with camera motion. Your agent can't fool itself. - 0-CR free tier — Cloudflare models (script + image) + Aura TTS produce a complete video for zero credits.
- Async premium renders — submit returns
poll_idinstantly; pollrender_remotion_resultlike a pro. - Per-slide premium renders — render one Remotion slide at a time (seconds per slide), QA each before committing, stitch at the end. Failure isolation + per-slide QA.
- Attached media is sacred —
generate_assetsnever overwrites media you attached (official photos, sourced footage); it only fills what's missing. - Asset Library (both ways) — every verified MCP output is auto-indexed into the dashboard library, and
list_assetslets agents browse + reuse existing assets for revisions. - All the formats —
create_project({aspect_ratio: "9:16"})for Shorts (portrait canvas + portrait images),render_video({resolution: "4k"})for 3840x2160 masters. - Battle-tested — hardened by live agent audits; every hard-won rule is baked into skill.md.
Pricing snapshot
Self-service top-up (QRIS/VA for Indonesia, card for international) via topup_credits or the studio. Live prices: list_models.
✍️ Script Generation — AI writes the script
create_script (Gemini) writes + auto-saves scenes. Models (billed per script):
gemini-4-argon— PREMIUM flagship reasoning, 1M context — 10 CRgemini-3-flash-preview— default, fast — 0.1 CR |@cf/qwen,@cf/glm-5.3-flash— FREE
Research feeding: send distilled notes 3-10K chars (facts/numbers/quotes — not raw page dumps), hard cap 50K. Or research: true (default) for auto Google-Search grounding. load_scenes still available for hand-written scripts.
🎨 Motion Graphics Templates — data-driven slides
11 data-driven templates: stat-counter (count-up prices/stats), comparison-chart (racing bars), line-chart, progress-bars, cinematic-title-intro, end-card, subscribe-reminder, gallery-grid (2-6 photos), lower-third, quote-card, glitch-text.
Adapted from reactvideoeditor/remotion-templates (free). ~0.5 CR per slide.
🎬 Film Mode (cinematic_film)
Consistent-character short films, end to end:
generate_character_sheet— multi-angle identity lock (one-time per character)extract_last_frame— frame chaining: scene N's last frame → scene N+1's first frame (continuous motion)cinematic_filmscript gen — three-act structure, character bible, shot/lighting language, dialogue- Full MCP playbook in
skill.md(FILM MODE section)
🎙️ Voice Routing — 45 verified voices
Per-language voice catalog; unknown names are rejected (no silent Adam fallback):
Persona → Voice auto-mapping: automotive aggressive + German → Leon Stern, nuanced + German → Otto (EN: Callum/George, ID: Arnold/Matilda). No manual voice needed — createScript stamps the persona automatically.
Links
- 🤖 Agent skill: mcp.autokeren.com/skill.md — the complete playbook in one URL
- ⚙️ Get an API key: studio.autokeren.com/settings
- 🎬 Studio (web app): studio.autokeren.com
- 🏠 WebMCP:
autokeren.com/mcp— browser agents auto-discover viadocument.modelContext
Status & reliability
- MCP protocol versions 2024-11-05 / 2025-03-26 / 2025-06-18 (echoed on
initialize) - JSON-RPC notifications per spec (202 + empty body), strict-client compatible (opencode verified)
- Optional-field discipline:
structuredContentonly when present - Runs on Cloudflare Workers + Containers (Region: Earth)
AutoKeren MCP is a hosted service. This repo is the public documentation, onboarding, and registry home — the live server is operated at mcp.autokeren.com.
来源:README.md,提交 4ad5352
工具
0版本历史
2- v1.2.0最新Sep 30, 2026
- v1.0.0Sep 29, 2026
评分
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