Hermoso

Hermoso

AI ad studio for agents: generate finished video, image, and UGC avatar ads for any brand (script, voiceover, music, brand end card), and research competitor ads across the Meta, Google, and LinkedIn ad libraries plus TikTok/Instagram/YouTube organic. 52 tools.

Category
访问服务器

README

Hermoso — MCP, CLI & Skills

smithery badge npm version MCP registry

Drive Hermoso — the AI ad studio — from any AI agent: Claude Code, Claude.ai, Cursor, Codex, or your own scripts. Research the ads already winning in a market, plan a creative, and generate finished image & video ads (your real product composited in, copy + CTA included) — all over MCP tools, a CLI, or installable Claude skills.

Instant: the hosted Claude.ai connector

Paste https://app.hermoso.ai/mcp into Claude → Settings → Connectors → Add custom connector, approve with your Hermoso account, done — the full studio toolset with your saved brand context, billed to your plan.

Quickstart for Claude Code / Cursor / scripts (2 minutes)

  1. Get an account at app.hermoso.ai — free tier included; plans & credits are the same ones the web Studio uses.
  2. Create an agent key: app.hermoso.ai → Settings → Agents & API → Create API key (hmk_…).
  3. Connect — no clone needed, npx runs the published hermoso package (Claude Code shown; any MCP client works):
claude mcp add hermoso -e HERMOSO_TOKEN=hmk_… -- npx -y hermoso mcp

Your agent now has the full studio with your workspace's context: the brand profile, products, logos and learned memory you set up in the web app apply automatically (get_brand shows what's saved; omit brand in plan_ad/plan_variations to use it). Renders bill your Hermoso credits — same prices as the Studio.

1. MCP server (stdio) — Claude Code / Cursor / Codex

hermoso mcp runs a stdio MCP server exposing the full studio toolset (40+ tools). The published hermoso package means no clone — npx -y hermoso mcp fetches and runs it:

claude mcp add hermoso -e HERMOSO_TOKEN=hmk_… -- npx -y hermoso mcp

Cursor / Codex — add to mcp.json (Codex uses the TOML equivalent):

{ "mcpServers": { "hermoso": { "command": "npx", "args": ["-y", "hermoso", "mcp"],
  "env": { "HERMOSO_API_BASE": "https://app.hermoso.ai", "HERMOSO_TOKEN": "<your token>" } } } }

Then ask your agent: “Generate an image ad with Hermoso.”

Tools (40+): research/ad-spy (find_competitors, pull_competitor_ads, research_ads, search_meta_ads, search_google_ads, search_linkedin_ads, search_tiktok, search_instagram, search_youtube, search_reddit, search_threads, scrapecreators_fetch), plan → generate → finish (plan_ad, plan_variations, generate_image, generate_video, generate_avatar, render_ad, make_template_ad, stitch_video, reframe_video, upscale_video, dub_video, change_voice, recast_motion, remix_static, finish_video, fix_beat), brand + account (get_brand, list_brands, use_brand, draft_brand, list_product_photos, set_product_image, hermoso_capabilities, hermoso_credits, buy_credits), and analysis/jobs (analyze_video, score_ad, check_ad_policy, competitor_teardown, mine_angles, get_job, list_jobs, get_skill, list_skills, fetch_asset). Call hermoso_capabilities first — it returns valid model ids and per-render credit costs; tools/list is the authoritative current set. Render jobs queue server-side and poll to completion, returning a served URL.

2. CLI — the token-cheap path for terminal agents

bin/hermoso.mjs mirrors the tools as subprocess commands, so an agent can shell out instead of carrying a fat tool manifest.

npm install -g .                                   # installs `hermoso`
hermoso capabilities                               # valid model ids + costs (run first)
hermoso create --brand "YourBrand" --product "your best-selling product" --format image
hermoso generate image --prompt "…" --ref ./product.png --wait
hermoso generate video --prompt "…" --duration 8 --wait
hermoso competitors yourbrand.com
hermoso research "Liquid Death’s longest-running ads"

Add --json to any command for machine output.

3. Claude skills — slash commands that wrap the CLI

skills/ holds four installable skills: hermoso-generate, hermoso-ad-from-brand, hermoso-product-photoshoot, hermoso-research.

cp -r skills/* ~/.claude/skills/

Then invoke /hermoso-ad-from-brand an ad for yourbrand.com — our hero product.

Configuration

Env Meaning
HERMOSO_API_BASE The Hermoso API origin (default https://app.hermoso.ai — set http://localhost:3000 if you run the app yourself)
HERMOSO_TOKEN Bearer token — required against the hosted app (rolling out)
HERMOSO_PROFILE Brand-workspace id, for accounts with multiple brand profiles

mcp/http.mjs is the hosted remote-connector transport (paste-a-URL into Claude.ai → Connectors). It ships in this repo for transparency and refuses to mount without authenticated identity — no anonymous spend, ever.

License

MIT © Hermoso

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选