keyline MCPとは
keylineはMCPサーバーです。 ネイティブなRust Skiaレンダラーを使用して、構造化されたJSONシーンをさまざまなサイズで画像や動画にレンダリングする、エージェントファーストの設計エンジンです。. 6個のツールを提供しており、scene_create, asset_add, layer_addなどがあります。
プロジェクトのREADMEから生成された概要
keyline MCP server について
keylineは、AIエージェントが構造化されたJSONシーンを通じて、ソーシャルメディアの投稿、広告、バナーなどを生成することを可能にします。このMCP serverは、PuppeteerやPlaywrightのようなブラウザベースのレンダラーを使用する代わりに、Skiaを搭載したネイティブなRustバイナリを使用して画像や動画をレンダリングします。このアプローチでは、エージェントが視覚的なスクリーンショットに頼るのではなく、デザインの不備を修正するための具体的な測定値によるフィードバックを受け取るため、トークン使用量を大幅に削減できます。
開発者は、Claude Code、Claude Desktop、Cursor、Codex、Gemini CLIなどのクライアントとこのツールを併用できます。stdioを介してローカルで動作し、ユーザーは特定のフォルダまたは設定されたパスでアセットを管理できます。このエンジンは、PNG、JPEG、WebP、PDF、アニメーションGIF、およびMP4またはWebMビデオファイルを含む幅広い出力形式をサポートしています。CSSのようなプロパティを持つ型付きのレイヤーツリーを使用しているため、エージェントはグラフィカルユーザーインターフェースを必要とせずに、レイアウト、タイポグラフィ、モーションを正確に操作できます。
できること
- 1マルチサイズの広告キャンペーン作成エージェントは単一のデザイン説明を受け取り、Instagramの投稿やリーダーボード形式のディスプレイ広告など、さまざまなフォーマットにレンダリングできます。
- 2デザイン修正の自動化エージェントは、画像に基づいて推測する代わりに、サーバーから提供される具体的な測定値フィードバックを使用して、レイアウトの問題を修正できます。
- 3アニメーション付きソーシャルコンテンツの生成開発者はエージェントに対し、GSAPスタイルのアニメーションやビデオクリップを使用してモーショングラフィックスを作成するよう指示できます。
プロジェクトの README から作成されています。すべてのユースケースは、その引用と照らし合わせて確認されています。
keyline MCPのインストール方法
フォーマット検証日 2026年11月10日Cursor に追加Gooseに追加Claude Codeにkeyline MCPをインストール
$ claude mcp add keyline -- docker run -i --rm ghcr.io/keyline-dev/keyline-mcp:0.8.1Cursorにkeyline MCPをインストール
~/.cursor/mcp.json
{
"mcpServers": {
"keyline": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/keyline-dev/keyline-mcp:0.8.1"
]
}
}
}VS Codeにkeyline MCPをインストール
.vscode/mcp.json
{
"servers": {
"keyline": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/keyline-dev/keyline-mcp:0.8.1"
]
}
}
}VS Code CLIにkeyline MCPをインストール
$ code --add-mcp '{"name":"keyline","type":"stdio","command":"docker","args":["run","-i","--rm","ghcr.io/keyline-dev/keyline-mcp:0.8.1"]}'Claude Desktopにkeyline MCPをインストール
claude_desktop_config.json
{
"mcpServers": {
"keyline": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/keyline-dev/keyline-mcp:0.8.1"
]
}
}
}Codexにkeyline MCPをインストール
$ codex mcp add keyline -- docker run -i --rm ghcr.io/keyline-dev/keyline-mcp:0.8.1Codex config.tomlにkeyline MCPをインストール
~/.codex/config.toml
[mcp_servers.keyline] command = "docker" args = ["run", "-i", "--rm", "ghcr.io/keyline-dev/keyline-mcp:0.8.1"]
Gemini CLIにkeyline MCPをインストール
$ gemini mcp add -s user keyline docker -- run -i --rm ghcr.io/keyline-dev/keyline-mcp:0.8.1Gemini settings.jsonにkeyline MCPをインストール
~/.gemini/settings.json
{
"mcpServers": {
"keyline": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/keyline-dev/keyline-mcp:0.8.1"
]
}
}
}keyline MCPツール 6
READMEから検出scene_createasset_addlayer_addlayer_updatescene_describerender
| scene_create | — | |
| asset_add | — | |
| layer_add | — | |
| layer_update | — | |
| scene_describe | — | |
| render | — |
設定
KEYLINE_MCP_BENCHUPDATE_GOLDEN
| 名前 | 説明 | 種類 |
|---|---|---|
| KEYLINE_MCP_BENCH | — | |
| UPDATE_GOLDEN | — |
自動チェック
実行日 2026年11月13日完全なレポート →自動チェックに合格しました。これはセキュリティ監査ではありません。コードを読み、サーバーに必要最小限のアクセス権を与えてください。 チェックの仕組み · 点数を上げるための改善点
- ソースリポジトリがリンクされており、アクセス可能合格
- オープンソースライセンス (OSI)No license検出事項
- 過去1年以内にコミットまたはリリースあり合格
- パッケージ名が有名なパッケージに酷似していない未チェック
- リモートエンドポイントがHTTPSを使用未チェック
- 破壊的なツールがラベル付けされている合格
- モデルへの隠れた指示がない合格
- パッケージおよびその依存関係に重大な勧告なし未チェック
README
GitHubで見るkeyline-mcp
keyline.dev: examples, the benchmark, and setup for every client.
Design engine for AI agents: Canva for your agent. keyline is a free MCP server for Claude Code, Claude Desktop, Cursor, Codex, Gemini CLI and any MCP client. Your agent describes a social post, ad or banner once, as a small JSON scene; keyline renders it as images and video at every size, with real text in your fonts and colors, the same every run.
No browser, and fewer tokens. No headless Chrome, Puppeteer or Playwright: one native Rust binary on Skia. Every edit replies with what's wrong at each size, so the agent fixes the design from measurements instead of screenshots: 2× fewer tokens than an agent driving headless Chrome, and 6× fewer than Playwright MCP (benchmark).
Why
Most designs people ship today (sale posts, event flyers, ad sets) are made in tools like Canva or Adobe Express. Those tools are built for a person with a mouse, and none is a good backend for an agent:
- Canva and Adobe Express keep their scene graph private: you can export pixels, not the design.
- Browser-based renderers such as Polotno need headless Chrome on the server.
keyline-mcp is the missing piece: an agent-first design tool, with a design format and renderer built from the ground up for a language model to author, check and export, cheaply and reproducibly. The design stays structured data (a typed layer tree with layout, tokens, styles and components), not pixels, so an agent edits it precisely instead of regenerating an image.
How it works
flowchart LR
A[Agent] -- "layer_add / layer_update" --> S[(Scene JSON)]
S --> L["Layout per size<br/>scale → constraints"]
L --> C["Checks<br/>defects · advisories · facts"]
C -- "ok, or what to fix" --> A
L --> R["Skia renderer<br/>GPU, CPU fallback"]
R --> P["PNG, JPEG, WebP, PDF, animated PNG, GIF, MP4 or WebM per size"]
- One master layout. A design is written once at a master size and lists its target sizes.
- Layouts that adapt. Rows, columns, grids and design-tool constraints lay the design out again at every size, with no constraint solver; any layer can change for one size or aspect class.
- Checks, not previews. Every edit's reply says what's wrong at each size, with the measurement that fixes it.
- GPU by default, deterministic when it matters. Renders run on the GPU and fall back to the CPU, whose output is exactly repeatable.
Start here: docs/concepts.md explains the model; docs/scene.md is the scene format and docs/tools.md the tools and configuration.
LLM-first, and LLM-only
There's no GUI, and no plan for one. Every design decision is judged by one question: how many tokens does the agent spend to get a correct image? We measure that with a real model (Claude, through Claude Code) building a real multi-section ad.
- Few, batched tools: six tools, not one per property; one call can build a whole ad.
- Short replies: edits return the changed ids, a version, and
okor the problems, never the scene. - Defaults left out: a typical layer is 4–6 fields.
- Standard names: CSS names and values wherever CSS has the concept (flexbox and grid fields on frames,
fontWeight,borderRadius,rgba()colors), so the model writes a scene right the first time. The layout itself is keyline's own, documented, not browser-exact. - Semantic targets: layers are addressed by
role, so the agent never reads the scene to find an id. - Verification without pixels: defects to fix, advisories to judge and facts to weigh, each with the measurement that fixes it (how).
- Names, not inventions: icons, shapes, styles, tokens and components by name. Icons alone took rebuilding a real flyer from $0.22–0.62 to $0.15–0.19 per run.
- Measured, not guessed: every change is judged on several real-model runs, kept in keyline-bench.
- Taste stays with the model: the server flags only objective defects and reports the rest as facts.
Features
- Layers:
text,image(PNG, JPEG, SVG),video,icon,rect,ellipse(and arcs and rings),polygon(and stars),path(SVG path data or a named shape),line,frame(nesting, clipping, stacks, grids),spacer,firstFit, andusefor components - Layout: stacks (CSS flexbox: rows and columns with gap, padding, alignment, justification and wrapping;
fill,flexGrowand priorities), grids (CSS grid: tracks, named areas, spans),hug/fill/percentage sizes with min/max and aspect ratio, direction lists andfirstFitthat pick what fits, constraints, placement at nine spots, a scale factor per size, per-size and per-aspect changes (media), size presets for common social and ad formats, and safe areas a platform covers - Text: fit, wrap or one line; inline markup (
<b>,<i>,<span style=…>, style names as tags); weights, italics, letter spacing, line height, case; balanced or pretty wrapping; highlights behind words; underline and strike; text on a curve; dot leaders; text filled with an image, pattern or gradient; outlines; text that knocks out its frame. Fonts work like CSS web fonts: name any Google Fonts family and the server downloads it on first use and caches it (tracked infonts/index.json); Inter is bundled, and you can add your own font files - Paint: stacked fills (solid, linear/radial/conic gradients, images, patterns, film grain), strokes (inside, center or outside, per side, dashed, with arrowheads, hand-drawn), shadows (outer and inner, following a cutout's or text's shape), blur and backdrop blur, masks (gradient, shape, path, another layer or an image), torn edges, 16 blend modes, corner radius, rotation, skew, flips
- Images: fill, fit, crop or tile, with a focus point that stays in view; adjustments (brightness, contrast, saturation, grayscale, sepia, hue, duotone, tint, halftone)
- Icons: about 5,000 built in, by name: Lucide outline icons and Font Awesome Free solid, regular and brand icons, in any color
- Reuse: named styles on any layer, tokens (
{{brand}}, in any field or sentence) that update every field using them, components placed once or once per data row, and templates: a scene file loaded by URL or path with its variables set, rendered once per row of values - Motion: GSAP-style animation: enter and exit effects (fade, fade-up, pop, zoom, blur-in), keyframes on opacity, scale, rotation, offset, skew, blur and color with GSAP's eases,
random()starts, staggered children, text split into letters or words that move on their own, strokes that draw themselves, and numbers that count - Video: video clips as layers, trimmed, slowed or looped, with titles and graphics over them; shots that play in turn, joined by cuts, fades, slides, pushes, wipes or zooms; each clip's own sound carried into the video, mixed with a soundtrack
- Assets: stored under content hashes. URLs are fetched only over http(s), and private and local addresses are refused.
- Output: PNG, JPEG, WebP, vector PDF, animated PNG, animated GIF, MP4 or WebM per size, a still of any moment, with a file-size cap for ad networks, plus an optional contact-sheet preview; rendered on the GPU when available
Quick start
Claude Code (macOS or Linux): the plugin downloads keyline and checks it against the release's SHA256SUMS, or uses keyline-mcp from your PATH.
/plugin marketplace add keyline-dev/keyline
/plugin install keyline@keyline
Claude Desktop (Mac with Apple silicon, or Windows): download keyline-mcp-<version>.mcpb from the latest release and double-click it. Designs and their renders go in ~/keyline, a folder per design, where you can also put the images and logos Claude should use. To work in folders of your own instead, open Settings → Extensions → keyline → Configure, add them, and click Save.
Other clients: install, then add
| Install | |
|---|---|
| macOS (Apple silicon) | brew install keyline-dev/tap/keyline-mcp |
| Linux (amd64, arm64) | sudo apt install ./keyline-mcp_<version>-1_amd64.deb (or _arm64), from the latest release; tarballs are there too |
| Windows (x64) | Unpack keyline-mcp-v<version>-windows-amd64.zip and put its folder on your PATH |
| Docker | Use docker run -i --rm -v keyline:/data ghcr.io/keyline-dev/keyline-mcp as the client's command; the :stills tag leaves out ffmpeg |
| From source | cargo build --release (Rust stable; on Linux also libfontconfig1-dev libfreetype6-dev) |
Every release has a SHA256SUMS file and build attestations: gh attestation verify <file> --repo keyline-dev/keyline. Then add keyline to your client. The command is keyline-mcp; if the client can't find it, give its full path (which keyline-mcp).
Codex is OpenAI's coding agent, included in ChatGPT plans. Its app, CLI and IDE extension share one setting:
codex mcp add keyline -- keyline-mcp
ChatGPT itself, like grok.com and the xAI API, connects only to remote servers, so it can't start keyline, which runs on your machine.
Any client that starts local (stdio) MCP servers works, Cursor, VS Code and Gemini CLI included. Add a server named keyline whose command is keyline-mcp, in the client's MCP settings or with its mcp add command. Most clients take this JSON:
{ "mcpServers": { "keyline": { "command": "keyline-mcp" } } }
Claude Code without the plugin (and on Windows): claude mcp add --scope user keyline -- keyline-mcp. Claude Desktop without the .mcpb: Settings → Developer → Edit Config, with the full path (/opt/homebrew/bin/keyline-mcp), since it doesn't read your shell's PATH.
Then
Ask your agent for a design: "Make a vote-by-mail flyer with this photo, in 1080×1350, 1200×1000 and a 300×600 skyscraper."
- Your files: each design gets a folder,
~/keyline/<name>/, holding its scene andrenders/; the agent adds images, video and templates in it by path (cheaper than sending their bytes) and picks up a design by name in a later session. The Claude Code plugin uses the project folder instead. Elsewhere,--folder ~/work ~/brandreplaces~/keyline: designs go in the first folder, and files are read in all of them. Flags go after the command (claude mcp add keyline -- keyline-mcp --folder ~/work), or inargsin a JSON config. In Docker, designs are in the/datavolume; mount other folders and pass them. - Video needs ffmpeg on the PATH; everything else, animated PNG and GIF included, works without it.
- Options: every setting is a flag (
--folder,--no-motion,--data,--fonts,--renderer,--ffmpeg,--encoder); seekeyline-mcp --helpand docs/tools.md. - Without an agent:
keyline-mcp render scene.json --out renders/renders every size and exits 1 on a!defect; in GitHub Actions,uses: keyline-dev/keyline@v0does it for a repo's scenes (details). - GPU on a Linux server needs Vulkan drivers (NVIDIA's, or Mesa); without a GPU, keyline renders on the CPU.
The tools
Every input and reply format is in docs/tools.md.
| Tool | Does | Replies |
|---|---|---|
scene_create |
New scene: master size, target sizes, background; or from a template file by URL or path, with its variables set | s5b0a42a5e v0 |
asset_add |
Adds an image or video clip from a URL, a local path or base64 | photo 1600×900 v1 |
layer_add |
Adds layers, optionally into a parent frame, and shared styles, tokens and components |
added headline,cta v2 ok and facts |
layer_update |
Changes (set), deletes or detaches layers, styles and components; changes tokens |
changed … v3, then problems or ok |
scene_describe |
Problems per size, or ok; full lists every layer's box |
text |
render |
PNG, JPEG, WebP, PDF, animated PNG, GIF, MP4 or WebM for all or some sizes, or a still at time; rows renders one variant per row of variables; maxKB caps file size; preview adds a contact sheet |
paths and how text was drawn |
A typical call:
{
"sceneId": "s5b0a42a5e",
"layers": [
{
"id": "headline",
"type": "text",
"x": 60,
"y": 40,
"width": 960,
"fontSize": 64,
"fontWeight": 800,
"textAlign": "center",
"color": "#1B2A5C",
"text": "Proven <span style=\"color:#D0202E\">RESULTS</span> for WILLOWMERE Families",
"constraints": {
"horizontal": "stretch",
"vertical": "top"
}
},
{
"type": "image",
"asset": "photo",
"y": 220,
"width": 1080,
"height": 460,
"constraints": {
"horizontal": "stretch",
"vertical": "stretch"
}
},
{
"id": "cta",
"type": "frame",
"y": 830,
"width": 1080,
"height": 100,
"fill": "#D0202E",
"constraints": {
"horizontal": "stretch",
"vertical": "bottom"
},
"children": [
{
"id": "cta-text",
"type": "text",
"text": "VOTE BY MAIL",
"x": 394,
"y": 21,
"fontSize": 48,
"fontWeight": 800,
"color": "#FFFFFF",
"constraints": {
"horizontal": "center",
"vertical": "center"
}
}
]
}
]
}
and its reply, for the sizes the tests use (1080×1350 at full scale, 1200×1000 at 0.85, a 300×600 skyscraper at 0.28):
added headline,image1,cta v2 ok
smallest text: portrait 48px (cta-text), wide 41px (cta-text), sky 13px (cta-text)
Development
cargo test # unit and end-to-end tests
UPDATE_GOLDEN=1 cargo test --test e2e # regenerate reference PNGs (deliberately; also e2e_features, e2e_paint, …)
cargo test --test llm_e2e -- --ignored --nocapture # a real model builds an ad; prints cost
cargo test -- --ignored web_fonts google_fonts # web fonts download once and stay cached (network)
KEYLINE_MCP_BENCH=<label> cargo test --test llm_e2e -- --ignored --nocapture # keep the run in ../keyline-bench/reference-ad/
KEYLINE_MCP_BENCH=<label> cargo test --test recreate_e2e -- --ignored --nocapture # rebuild a local design from its image, scored
- Unit tests cover layout, text fitting, rendering down to pixel checks, storage, URL safety and edits.
- Layout tests check every layer's position and size after layout, without rendering.
- End-to-end tests run the real server over stdio, build designs in several sizes, and compare the PNGs with reference images. The images are kept per OS, since glyph rasterization differs by platform, and compared with a small tolerance, since glyph edges also differ slightly between OS versions.
- The LLM tests run Claude Code headless, so they use a Claude subscription and need no API key. They check that no defects remain and report tool calls, tokens and API-equivalent cost. With
KEYLINE_MCP_BENCHthey keep each run for comparison: the reference ad in keyline-bench (checked out beside this repo, or atKEYLINE_BENCH), and a design rebuilt from its image (kept in the gitignoredbench/recreate/local/, since references are often real people's material), scored by how close it looks. - Releases: pushing a
v*tag builds the Linux.deband tarball (amd64 and arm64) and attaches them to a GitHub release.
Contributions follow CLAUDE.md: Rust only, cargo fmt and clippy -D warnings must pass, changes are reviewed against the rust-skills rules, new dependencies need approval and must be permissively licensed, and every feature comes with unit and end-to-end tests.
License
Functional Source License 1.1, Apache 2.0 future license (FSL-1.1-ALv2): free to use, modify and redistribute, commercially too, for any purpose except a competing use: making keyline available to others in a commercial product or service that substitutes for it or offers substantially the same functionality, which includes offering it as a hosted service. Your own internal use, research, education and work for clients are all allowed. Two years after each release, that release is also available under the Apache License 2.0. For a license to compete, contact the author.
Contributions are welcome under the contributor agreement: contributors assign the copyright in their changes to the author.
Third-party parts keep their own licenses: Skia (BSD-3-Clause) through the skia-safe bindings (MIT), resvg (Apache-2.0 or MIT), rmcp (Apache-2.0), csscolorparser (MIT or Apache-2.0), Inter (SIL OFL 1.1), Lucide icons (ISC) and Font Awesome Free icons by Fonticons, Inc. (CC BY 4.0).
keyline MCPのよくある質問
keyline MCPをClaude Codeに追加するには
ターミナルでclaude mcp add keyline -- docker run -i --rm ghcr.io/keyline-dev/keyline-mcp:0.8.1を実行します。すべてのプロジェクトで利用するには--scope userを追加します。
keyline MCPをCursorに追加するには
~/.cursor/mcp.jsonを開き、上記のインストールセクションに示すCursor設定を使ってmcpServersの下にサーバーを追加します。
keyline MCPが提供するツールは
6個のツールを提供しており、scene_create, asset_add, layer_add, layer_update, scene_describeなどがあります。
keylineはデザインのレンダリングにWebブラウザを必要としますか?
いいえ。headless Chrome、Puppeteer、またはPlaywrightの代わりに、Skiaを利用したネイティブなRustバイナリを使用します。
keylineはAIエージェントのトークン使用量をどのように削減しますか?
構造化されたJSONシーンを使用し、エージェントがスクリーンショットを処理する必要がないよう、編集のための測定値に基づいたフィードバックを提供します。