AutoKeren MCP — AI Video Studio for Agents

Name: AutoKeren MCP
Author: autokeren

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:

bash

claude mcp add --transport http autokeren https://mcp.autokeren.com \
  --header "Authorization: Bearer ak_YOUR_KEY"

opencode (~/.config/opencode/opencode.json):

json

{
  "mcp": {
    "autokeren": {
      "type": "remote",
      "url": "https://mcp.autokeren.com",
      "headers": { "Authorization": "Bearer ak_YOUR_KEY" }
    }
  }
}

Cursor / Windsurf (MCP Settings → JSON):

json

{
  "mcpServers": {
    "autokeren": {
      "url": "https://mcp.autokeren.com",
      "headers": { "Authorization": "Bearer ak_YOUR_KEY" }
    }
  }
}

Any HTTP client:

bash

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 43 Tools

Category	What it does
Pipeline (19)	`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`, `list_assets` (browse your asset library for revisions)... — 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 (4)	`render_remotion` (one-shot async) + `render_remotion_result` (poll), or the incremental path: `render_remotion_slide` (ONE scene, full motion graphics, 0.5 CR, 9:16 Shorts supported) → QA per slide → `stitch_remotion_slides` (1 CR)

Why agents love it

Verified uploads everywhere — every media URL the server returns is HEAD-verified in R2 (verified: true); set_scene_media hard-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_video reports media_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_id instantly; poll render_remotion_result like 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_assets never 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_assets lets 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

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.

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: structuredContent only 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.

AutoKeren MCP

What it does

What it costs

Tools