Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Description from the maker (original English)
AI video studio for agents — script to MP4, b-roll sourcing, Gemini QA. 43 tools.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
AuthorizationValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Run this in your terminal
claude mcp add --transport http autokeren https://mcp.autokeren.com --header 'Authorization: your-value'Fill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"autokeren": {
"url": "https://mcp.autokeren.com",
"headers": {
"Authorization": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"autokeren": {
"type": "http",
"url": "https://mcp.autokeren.com",
"headers": {
"Authorization": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Your choice stays on this device in a cookie; no account needed.
Authorization secret required HTTP headerThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account autokeren, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: Authorization
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.2.0) reached the registry 38 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
https://mcp.autokeren.com (Streamable HTTP)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."*
| 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) |
verified: true); set_scene_media hard-rejects dead URLs (404/410). No more silent AI-image fallbacks.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.poll_id instantly; poll render_remotion_result like a pro.generate_assets never overwrites media you attached (official photos, sourced footage); it only fills what's missing.list_assets lets agents browse + reuse existing assets for revisions.create_project({aspect_ratio: "9:16"}) for Shorts (portrait canvas + portrait images), render_video({resolution: "4k"}) for 3840x2160 masters.| 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.
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 — FREEResearch 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.
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.
list_templates() → see schemas
render_template_slide({template_id: "stat-counter", data: {value: 19990, prefix: "€", label: "..."}, output_r2key: "..."}) stitch_remotion_slides({slides: [...]}) ← mix template + regular slides in ONE video
Adapted from reactvideoeditor/remotion-templates (free). ~0.5 CR per slide.
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_film script gen — three-act structure, character bible, shot/lighting language, dialogueskill.md (FILM MODE section)Per-language voice catalog; unknown names are rejected (no silent Adam fallback):
| Language | Voices |
|---|---|
| English (US) | Adam, Antoni, Brian, Dave, Callum, Harry, James, Jeremy, Liam, Michael, Sam, Sarah, Rachel, Nicole, Charlie |
| English (UK) | Daniel, Freya, George, Charlotte, Dorothy, Jessie |
| Deutsch (native) | Otto, Leon Stern, Leonie, Christian, Lea, Joha |
| Multilingual (incl. Indonesian) | Clyde, Arnold, Domi, Ethan, Fin, Mimi, Matilda, Grace, Giovanni, Serena, Thomas, Drew, Elli, Emily, Gigi, Glinda, Matthew, Patrick |
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.
autokeren.com/mcp — browser agents auto-discover via document.modelContextinitialize)structuredContent only when present*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.*