AutoKeren MCP
MCP serverMediaLets your agent turn scripts into finished videos by generating footage, adding b-roll, and checking quality.
Use AutoKeren MCP in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add AutoKeren MCP and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use AutoKeren MCP
Needs your own account with this service. Keys stay in your vault.
Details
Available today. Use it from your connected AI after setup.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
About this server
AI video studio for agents, script to MP4, b-roll sourcing, Gemini QA. 43 tools.
Install AutoKeren MCP
The server’s own address, for the clients that take one directly. Or connect ahel once and every client you use reads it from one address, with the account kept on ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user autokeren-mcp 'https://mcp.autokeren.com'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://mcp.autokeren.comAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=autokeren-mcp&config=eyJ1cmwiOiJodHRwczovL21jcC5hdXRva2VyZW4uY29tIn0=Open the link and Cursor adds the server at that address.
ChatGPT
https://mcp.autokeren.comIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add autokeren-mcp --url 'https://mcp.autokeren.com'Run it once, then sign in with codex mcp login autokeren-mcp if the server asks for an account.
From the project's README
As published by autokeren/autokeren-mcp in README.md.
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:
claude mcp add --transport http autokeren https://mcp.autokeren.com \
--header "Authorization: Bearer ak_YOUR_KEY"
opencode (~/.config/opencode/opencode.json):
{
"mcp": {
"autokeren": {
"type": "remote",
"url": "https://mcp.autokeren.com",
"headers": { "Authorization": "Bearer ak_YOUR_KEY" }
}
}
}
Cursor / Windsurf (MCP Settings → JSON):
{
"mcpServers": {
"autokeren": {
"url": "https://mcp.autokeren.com",
"headers": { "Authorization": "Bearer ak_YOUR_KEY" }
}
}
}
Any HTTP client:
curl -X POST https://mcp.autokeren.com \
-H "Authorization: Bearer ak_YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call",
"params":{"name":"get_workflow","arguments":{}}}'
Then just tell your agent: "Read https://mcp.autokeren.com/skill.md and follow it."
The 40 Tools
| Category | What it does |
|---|---|
| Pipeline (18) | get_workflow, estimate_cost, create_project, load_scenes, generate_assets, render_video, set_scene_media, attach_scene_media_batch (50 scenes/call), verify_render, get_render_errors, get_usage... — full production + billing telemetry |
| Media Generation (7) | generate_image, generate_speech, generate_video_clip (Veo/Seedance), ElevenLabs image/video flows with async polling |
| Research & Sourcing (6) | youtube_search, yt_dlp_download, index_shots (Gemini watches & timestamps every shot), cut_video (per-scene clips via separate:true), extract_frames, fetch_to_r2 |
| AI Vision & QA (4) | check_vision (free), analyze_media, check_video — full-video audit that classifies real footage vs AI stills per time range, review_video (production score /10) |
| Packaging & Upload (3) | suggest_packaging (free A/B titles + thumbnail + SEO), get_presigned_upload (bypass 100MB limits), prepare_remotion |
| Premium Render (2) | render_remotion (async submit → poll_id instantly) + render_remotion_result (container Remotion renders) |
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. - 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
| Stage | Free (0 CR) | Paid |
|---|---|---|
| Script | @cf/zai-org/glm-5.3-flash | gemini 0.05–0.1 CR |
| Image | @cf/black-forest-labs/flux-2-klein-9b | gemini-3-pro-image 8 CR, runway 5–170 CR |
| TTS | @cf/deepgram/aura-2-en | ElevenLabs 2–10 CR, Gemini TTS 1 CR |
| Video clip | — | Runway 60–740 CR per 5s (duration-scaled) |
Self-service top-up (QRIS/VA for Indonesia, card for international) via topup_credits or the studio. Live prices: list_models.
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.
Signals
- Last commit
- Sep 2026
Advanced
- Delivery
- AutoKeren MCP MCP server → your ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
io-github-autokeren-mcp- Source
- github.com/autokeren/autokeren-mcp
- Hosted endpoint
https://mcp.autokeren.com
github.com/autokeren/autokeren-mcp