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Hermoso

Marketing on autopilot: 906 tools, usable alone. DM automations, ads on 12 platforms incl. AppLovin.

Media & ImagesJavaScriptv0.1.403

Hermoso — MCP, CLI & Skills

Run your whole marketing operation from any AI agent: Claude Code, Claude.ai, Cursor, Codex, or your own scripts. Research the ads already winning in a market, generate finished image & video ads (your real product composited in, copy + CTA included), publish them to your own social channels, and build & manage the ad campaigns behind them, all over MCP tools, a CLI, or installable Claude skills.

892 tools. tools/list is always the authoritative set; hermoso_capabilities (free) returns the live model catalog with exact per-render credit costs plus the full capability map.

Most of it costs nothing. Publishing and scheduling posts, building and managing paid campaigns, analytics and insights, comments and DMs, connectors, profiles and team seats are free on every plan, with no per-post or per-channel fee and no seat pricing. Credits are spent only on running an AI model (image, video, voice, text, planning, post-production) and on Ad Spy research, and posting an ad you already rendered is never a second charge. The one exception is X (Twitter), where posting and reads bill a few credits per call because X charges per API request.

What it connects to. Ad platforms: Meta, Google Ads, TikTok Ads, LinkedIn Ads, Reddit Ads, X Ads, Pinterest Ads, Snapchat Ads, Microsoft Advertising, Apple Search Ads, ChatGPT Ads and AppLovin Ads, plus product feeds in Google Merchant Center. Publishing and scheduling — ten channels: Facebook, Instagram, Threads, TikTok, YouTube, X, LinkedIn, Pinterest, Bluesky and Telegram. Messaging: WhatsApp (you message a person, so it is not an eleventh publishing channel) and Instagram DM automations (a keyword comment, a DM, a story reply or an ig.me link gets an automatic private reply). Ad research: the Meta, Google and LinkedIn ad libraries plus organic TikTok, Instagram, YouTube, Threads and Reddit. Analytics: Google Analytics 4, Google Search Console and every connected platform's own post and campaign insights. Files: Google Drive, Sheets, Docs and OneDrive.

It is not all-or-nothing. Research, creation, publishing/scheduling and ads management are four independent areas — no tool requires that you used another one first. Publish or schedule creative you already have and generate nothing here (upload_file turns any local or external file into a URL every publish, schedule and ad-build tool accepts); build and read campaigns on your own ad accounts with your own creative; research competitors with no brand drafted and no channel connected; or generate a file with nothing connected at all and just download it. Use the one piece you need, or all of it together.

Install in one command

This repo is a plugin marketplace, a Gemini CLI extension and a skills package at once, so a coding agent takes Hermoso in one line. Every install brings the same five skills (hermoso-research, hermoso-generate, hermoso-ad-from-brand, hermoso-product-photoshoot, hermoso-marketing), and the skills drive the hermoso CLI through npx. No tool list is loaded into your session: a CLI command costs nothing until it runs, and it reaches every tool. The first time, your agent runs npx -y hermoso auth login, which opens a browser to sign in.

Claude Code:

claude plugin marketplace add hermoso-ai/hermoso && claude plugin install hermoso@hermoso

Inside a session the same thing is /plugin marketplace add hermoso-ai/hermoso then /plugin install hermoso@hermoso.

Codex CLI (it reads the same marketplace file):

codex plugin marketplace add hermoso-ai/hermoso && codex plugin add hermoso@hermoso

Gemini CLI:

gemini extensions install https://github.com/hermoso-ai/hermoso

Grok (xAI) comes in three shapes, and each one connects differently:

  • grok.com and the Grok apps take the hosted connector: open Plugins → Connectors → New Connector → Custom (or go straight to grok.com/connectors), paste https://app.hermoso.ai/mcp and sign in with your Hermoso account.

  • Grok Bot: add the Hermoso Marketing Bot template. It arrives wired to Hermoso and asks for a key, which you create in the app under MCP & CLI → Terminal & API keys.

  • Grok Build, xAI's terminal agent, runs a local MCP server. Sign in once, then add it:

    npx -y hermoso auth login
    grok mcp add hermoso -- npx -y hermoso mcp
    

Cursor, OpenCode, GitHub Copilot, Windsurf and about 75 more agents, through the open skills installer:

npx skills add hermoso-ai/hermoso

It asks which agents to install into; -a opencode (or cursor, github-copilot, windsurf) picks one, and --skill hermoso-research installs a single skill. VS Code agent plugins can also take this repo whole: run Chat: Install Plugin From Source and paste https://github.com/hermoso-ai/hermoso.

ChatGPT and Claude.ai run in a browser and cannot run a CLI, so they use the hosted connector instead (see below). The ChatGPT desktop app and ChatGPT workspace admins can also read this repo's .claude-plugin/marketplace.json, which installs the skills.

No browser on the machine? Create a key in the app under MCP & CLI and run npx -y hermoso auth login --token <key>.

Which surface should your agent use?

Two shapes, and the right one is decided by what your client can do, not by which we prefer.

Your clientUseWhy
Runs in a browser: Claude.ai, ChatGPT, Claude Desktopthe hosted connector https://app.hermoso.ai/mcpIt cannot spawn a local process, so a URL is the only shape it has. Nothing to install, no key to paste, and the full toolset arrives with your saved brand context. This is the right answer for these clients, not a lesser one.
Can run a shell: Claude Code, Codex, Gemini CLI, Cursor, Cline, OpenClaw, Hermes, your own scriptsthe one-command install above, or the CLI itself (npm install -g hermoso)A tool manifest is loaded into every session whether or not a tool is called. A shell command costs nothing until it runs, and it reaches every tool rather than the default roster.

The CLI answers the questions a tool manifest would, on demand and only when asked:

npx -y hermoso tools --search reddit   # every matching tool, name + one line
npx -y hermoso tools plan_ad           # one tool's full argument schema
npx -y hermoso call plan_ad --json '{"product":"…"}'   # run it

tools and tools <name> read a registry bundled in the package (no key, no network, no sign-in), so an agent can browse the entire product before anyone signs in. Only call spends, and only that needs hermoso auth login once.

Want the tools in your coding agent's own list as well? That is the MCP server, and it is optional. One hermoso auth login covers the CLI and lets claude mcp add hermoso -- npx -y hermoso mcp pick the key up with no env block, so the agent can reach for a native tool when it wants structured results and shell out when it wants breadth. It costs context in every session, so add it when a session settles into one area and makes many calls there; enable_tools({groups:['ads']}) then turns campaign management on in a single free call.

Your agent can sign itself up

An agent with no Hermoso account can provision one, get its own key, and be rendering ads in the same session. No human at a browser, no ticket, no waiting.

# 1. Start a signup. This call takes no credential, because the credential is what it creates.
curl -sX POST https://app.hermoso.ai/v1/signup \
  -H 'content-type: application/json' \
  -d '{"plan":"pro","period":"mo","email":"you@yourcompany.com"}'
# -> { "id": "cs_...", "checkout_url": "https://checkout.stripe.com/...", "claim_token": "hsc_...", "email": { "address": "you@yourcompany.com", "verified": false } }
# email = the human behind the account. A verification link goes there; the account works before it is clicked.
# It is a contact mailbox only, never a sign-in. GET /v1/account/email reports the state; POST /v1/account/email/resend re-sends or changes it.

# 2. Pay at checkout_url. Store claim_token first: it is returned only in that response.

# 3. Claim it. Poll until status is "ready".
curl -sX POST https://app.hermoso.ai/v1/signup/cs_.../claim \
  -H 'content-type: application/json' \
  -d '{"claim_token":"hsc_..."}'
# -> { "status": "ready", "api_key": "hmk_...", "credits": 3000 }

That hmk_ key is the same credential everything else on this page takes: /v1, the MCP server, the CLI. Point your client at it and the full surface is open.

Paying is something a browser-capable agent can already do itself. Checkout is Stripe's own hosted page, so Claude in Chrome and clients like it complete it unattended today. Everything else is a one-click handoff: send checkout_url to whoever holds the card. The same shape covers you later, once you are running: buy_credits and upgrade_plan mint a ready-to-pay link for more credits or a bigger plan, and billing_status reads the balance any time.

An agent with its own payment credential can pay with no human at all. POST /api/billing/machine-payment with {"packId": "pack-1k"} answers HTTP 402 carrying a WWW-Authenticate: Payment challenge (Stripe, through the Machine Payments Protocol); pay the challenge and retry, and the same credit pack lands on the same balance. GET /api/billing/config lists the packs under machinePayments. Same packs, same prices, no per-call billing.

The agentic path takes a paid plan. Any of them. The free plan is there for a person signing up at app.hermoso.ai, and asking for it here returns a refusal that says so. Nothing is created until the payment completes, so an unpaid signup leaves no account behind and charges nothing.

One thing still wants a person, and it is worth knowing up front. Connecting a social or ad account means an OAuth consent screen, and a consent screen cannot be completed headlessly on any platform. list_connectors shows what is already connected and what is not. Everything else runs with no browser at all: research, generation, publishing to a channel that is already connected, campaign builds, reporting.

Full request and response shapes, plus every other endpoint, are in the OpenAPI document at app.hermoso.ai/openapi.json, served live from the same table that mounts the routes.

Instant: the hosted Claude.ai connector

Paste https://app.hermoso.ai/mcp?src=readme into Claude → Customize → Connectors → Add → Add custom connector, press Continue, choose Sign in now under Authentication (Claude's detector pre-selects "No sign-in" because our discovery handshake is open, and with that your first request comes back "Authentication required"), press Add and Connect, approve with your Hermoso account, and you are done: the full toolset with your saved brand context, billed to your plan.

Quickstart for Claude Code (one command)

  1. Get an account at app.hermoso.ai. The free tier is included; plans and credits are the same ones the web Studio uses. Or skip the browser entirely and let your agent sign itself up on a paid plan with POST /v1/signup (above).
  2. Install the plugin. It adds the five Hermoso skills, which drive the hermoso CLI through npx:
claude plugin marketplace add hermoso-ai/hermoso && claude plugin install hermoso@hermoso

Already inside a session? /plugin marketplace add hermoso-ai/hermoso, then /plugin install hermoso@hermoso. Codex, Gemini CLI and the rest are in Install in one command. 3. Sign in once. npx -y hermoso auth login opens your browser; your agent also runs it by itself the first time it needs Hermoso. On a machine with no browser, use npx -y hermoso auth login --token hmk_… with a key from the MCP & CLI tab, under Terminal & API keys (Settings → API keys, or https://app.hermoso.ai/?tab=api-keys, go straight there). 4. Ask for what you want, in your normal prompts. Claude Code picks the Hermoso skill for the job and runs the commands. You type none of them.

Rather install the CLI by hand? npm install -g hermoso puts the same hermoso command on your PATH, and the skills use it when it is there.

The hosted URL works in Claude Code too, but the plugin is the lighter path there because it loads no tool list into your sessions. If you want the connector: claude mcp add --transport http hermoso "https://app.hermoso.ai/mcp?src=readme", and claude mcp list reports ! Needs authentication until you run claude mcp login hermoso once and approve in your browser (--no-browser prints the link on a headless machine). Measured against Claude Code 2.1.282 on 2026-09-25.

Your agent now has the full studio with your profile's context: the brand details, 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, at the same prices as the Studio. Only AI model runs and Ad Spy research spend credits; publishing, scheduling, ads management and analytics are free on every plan (posting to X and reading X data are the one per-call exception, managing X ads is free).

1. MCP server (stdio), optional in a coding agent

hermoso mcp runs a stdio MCP server exposing the full toolset, for a client that wants Hermoso's tools in its own list. The published hermoso package means no clone: npx -y hermoso mcp fetches and runs it. Sign in once with the CLI and no key goes into any client config, because hermoso mcp reads the bearer hermoso auth login stored:

npm install -g hermoso && hermoso auth login && claude mcp add hermoso -- npx -y hermoso mcp

On a machine with no browser, skip the sign-in and pass the key to the client instead:

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

Cursor / Codex: sign in the same way, then add to mcp.json (Codex uses the TOML equivalent). Drop the env block entirely if you signed in above; it is there for CI, where the process cannot read your home directory:

{ "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.”

What the 892 tools cover

Ad spy / research — find_competitors, competitor_teardown, pull_competitor_ads, research_ads; the Meta / Google / LinkedIn ad libraries (search_meta_ads, search_google_ads, search_linkedin_ads); organic social (search_tiktok, search_instagram, search_youtube, search_reddit, search_threads); fetch_social_data, mine_angles, analyze_video, check_ad_policy, list_skills / get_skill.

Create — draft_brand → plan_ad → render_ad (the Studio quality pipeline: composited text, clean speech, music, brand end card), or generate_image / generate_video / generate_avatar (UGC creators + lip-sync). The workspace's saved cast is reusable: list_creators returns every saved creator with their portrait url, save_creator adds one, delete_creator drops one — re-pass a portrait to generate_avatar / generate_video / recast_motion and the SAME person stars in every ad, instead of a new face each render. Also make_template_ad (native HTML ad formats), make_explainer, product_sizzle, make_thumbnail, clone_static, recast_motion, reframe_video, upscale_video, dub_video, change_voice, finish_video, fix_beat, stitch_video, clip_video, post_edit, plus plan_variations + score_ad to fan out and rank. Length is yours to set: pass durationSeconds to plan_ad and the storyboard is authored to it — a length that fits one clip of the render model renders as a single continuous take, longer is stitched from acts (on a 15s-clip model, 40s = 15+15+10), never time-compressed. What fits one clip is the model's own maximum, not a fixed number: most video models cap a clip at 15 seconds and the longest-clip one takes 30 seconds in one unbroken take with native synchronized audio. hermoso_capabilities is the live list — durations, resolutions and the exact credit cost of every tier — and naming that model in model is how you get it, since an unnamed render is routed by a narrower auto-pool.

Raw model playground — the full catalog (30+ image / video / voice / writing models, each with its exact per-render credit cost) with no ad framing: generate_image / generate_video with useBrand:false, generate_voice, generate_text.

Publish to your own channels — ten of them: Facebook, Instagram and Threads (post_to_meta), TikTok (post_to_tiktok), YouTube (post_to_youtube + update_youtube_video, youtube_video_insights, comments read/reply), X (post_to_x, x_post_metrics, x_post_insights, x_mentions, list_x_dms, send_x_dm), LinkedIn profile and company Pages (post_to_linkedin, post_to_linkedin_page), Pinterest (post_to_pinterest + boards), Bluesky (post_to_bluesky, delete_bluesky_post, bluesky_post_metrics, plus list_bluesky_convos / read_bluesky_dm / send_bluesky_dm) and Telegram (post_to_telegram, delete_telegram_message, list_telegram_chats). schedule_post / list_scheduled / cancel_scheduled give you one content calendar over exactly that set. upload_file brings in any external or local media, not just Hermoso renders. X posting bills credits per API call (X charges per request); a post containing a link costs 13× one without. Held back, and named rather than hidden: Google Business Profile is built (post_to_google_business, reviews, Q&A, insights) and is not offered — Google allowlists that API per project and ours reads 0 QPM, so every call would 403 for every user. It is in schedule_post's channel enum and refused at enqueue.

Message customers on WhatsApp — messaging, not an eleventh publishing channel: you message a person, and nothing here posts to a feed. list_whatsapp_accounts finds the Business Account and its numbers, list_whatsapp_templates / create_whatsapp_template / delete_whatsapp_template manage the templates Meta reviews, and send_whatsapp_message sends one — confirm-gated, because it reaches a real phone and Meta bills the business for the conversation. Two limits that are permanent facts about Meta's API rather than anything pending: Hermoso does not receive WhatsApp webhooks, so there is no message history to read — it is not an inbox surface and list_inbox does not cover it — and outside the 24-hour window that opens when the customer messages first, WhatsApp accepts an APPROVED template and nothing else.

Automate Instagram DMs — save_instagram_dm_automation sets up a rule that answers people for the brand: a comment with a keyword on one post, the next post or any post gets a private reply, and a DM, a story reply or an ig.me link gets an answer, with optional link buttons, a public comment reply, a follow gate and a dry run. test_instagram_dm_automation shows exactly what a sample comment or DM would send without sending it, and list_instagram_dm_automations / delete_instagram_dm_automation read each rule's stats and send log or remove it. Each person gets one reply per post, Meta allows a private reply within 7 days of the comment, and no AI runs on the send path, so it costs no credits.

Run the ads — full campaign trees, built paused and read back before anything is reported, with every spend change confirm-gated, on twelve platforms: Meta, Google Ads, LinkedIn Ads, Reddit Ads, Pinterest Ads, Microsoft Advertising, ChatGPT Ads (OpenAI's Advertiser API), X Ads, TikTok Ads, Snapchat Ads, Apple Ads (Apple Search Ads on the App Store) and AppLovin Ads (reporting and the website pixel on the keys every account has; campaign building once AppLovin enables Campaign Management API access on the account, and server-side conversion events with the Conversion API key AppLovin issues on request). Each has list + report + create + budget/status tools (e.g. list_google_ads_campaigns, google_ads_report, create_google_ads_campaign, set_google_ads_budget, set_google_ads_status). Snapchat needs one extra step the others do not: an ad points at a CREATIVE, and every Snapchat creative must carry a Public Profile id — build it with upload_snapchat_ads_creative.

Feed the shopping surfaces — Google Merchant Center is the catalog a retail Performance Max or Shopping campaign advertises (create_google_ads_performance_max_campaign takes a merchantCenterId), and you manage it from here: accounts and account status, data sources, product upsert / update / delete, per-region inventory, quota, merchant_report for product-level performance, notifications and conversion sources, plus the disapproval loop — list_merchant_issues says what is wrong and merchant_issue_help returns Google's own documented fix. Promotions need the merchant's own enrolment in Google's promotions program; without it Google refuses that sub-API outright. Microsoft Merchant Center is covered on the same shape (stores, catalogs, products, issues) for Bing Shopping.

Measure what the ads achieved — Google Analytics 4 closes the loop. Every other connector here reports what an ad cost; this is the one that reports what it did. analytics_report breaks sessions, users, conversions and revenue down by channel, source/medium, campaign, landing page, country, device or date, so the campaign Hermoso built and the revenue it drove sit in one conversation. analytics_realtime shows who is on the site right now. Start at list_analytics_properties — the tools take a numeric property id, not the G-XXXXXXXXX Measurement ID from your tracking snippet, and this is what resolves one from the other. It writes as well as reads: create_analytics_key_event marks an event GA4 already collects as a key event — which is what makes it importable into Google Ads as a conversion — and create_analytics_custom_dimension registers an event parameter so reports can break down by it, with list_analytics_definitions showing what the property already measures. It signs in with the same Google account as Google Ads, YouTube and Drive, but it is its own connection. GA4 only — the API has no Universal Analytics surface. A custom dimension can be archived but never deleted, and a property holds 50 event-scoped ones.

Files — Google Drive CRUD (save_to_drive, list_drive_files, update_drive_file, delete_drive_file, create_drive_folder), Google Sheets (create_sheet, append_to_sheet, read_sheet), Google Docs (create_doc, append_to_doc), and OneDrive (save_to_onedrive + full CRUD).

Workspace & account — profiles (list_brands, create_brand, use_brand, update_brand, delete_brand; one account holds many profiles, each a brand, a client, a creator or a personal workspace, so an agency runs every client through here), memory (remember, forget, list_memory), custom skills (save_skill, get_skill, list_skills, delete_skill — the one library, which absorbed the old AI-Employee personas), team (list_team, invite_member, remove_member, set_role), settings (get_settings, update_settings — including the language every ad, script and plan is written in), connectors (list_connectors, list_connector_accounts, set_connector_accounts, disconnect_connector), and billing (hermoso_credits, billing_status, buy_credits, upgrade_plan, set_auto_reload), plus list_jobs / get_job for async renders.

Connector accounts are picked, not guessed. One person often administers several Facebook Pages, Google Ads customers or LinkedIn company Pages. Only the accounts ticked for a profile are usable — enforced server-side, and an empty selection shares nothing. Linking a new account is the one step that is not headless (it is an OAuth consent screen, so the user does it in the app).

Render jobs queue server-side and poll to completion, returning a served URL.

2. CLI: the context-free path for terminal agents

bin/hermoso.mjs exposes the full MCP toolset as subprocess commands, so an agent can shell out instead of carrying a fat tool manifest.

npm install -g hermoso                             # 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.

Those shortcuts are the common path, not the limit. Every tool the MCP server has is reachable here too, including the ad-campaign and analytics groups a connector leaves out of its default roster:

hermoso tools                          # every tool, grouped, name + one line
hermoso tools --group ads --search reddit   # narrow it
hermoso tools create_meta_campaign     # that tool's full argument schema
hermoso call create_meta_campaign --json '{"name":"…"}'   # run it
hermoso create_meta_campaign --name "…"                   # same thing, shorter

call goes through the same handler, the same argument validation and the same confirm/spend gates the MCP server uses, so there is no second implementation to drift. tools and tools <name> read a registry bundled in the package, so they need no key, no network and no sign-in.

3. Skills: what a coding agent installs

skills/ holds five installable skills:

SkillWhat it does
hermoso-researchFind competitors, pull their real running ads, surface the hooks worth copying
hermoso-generateA prompt to a finished image, video, avatar clip or stitched cut
hermoso-ad-from-brandA brand or domain to one finished, on-brand ad, concept and copy included
hermoso-product-photoshootA real product photo composited into studio, lifestyle or hero scenes
hermoso-marketingThe whole loop: research, create, publish and schedule, paid campaigns, measure

They are what every one-command install at the top of this page adds, in Claude Code, Codex, Gemini CLI and through npx skills add. From a clone, copying works too:

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

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

Ask for it in your own words

The skills pick themselves. These are whole prompts, not commands:

  • Find my top 5 competitors for [product + URL], pull their best Meta and TikTok ads from the last 90 days, and tell me the 3 hooks and 2 formats worth stealing, with the evidence.
  • Make this week's ads for [brand]: two hooks in two formats, one UGC and one product visual, 9:16. Score them and policy check them before I ship.
  • Here is a competitor ad: [link]. Break down why it works, then rebuild the structure with my product, my branding and a fresh hook.
  • Fill my social queue for the next 7 days across Instagram, TikTok, X and LinkedIn, repurposed from my best post, with per-channel captions.
  • Take last week's winner and build a $20/day test campaign on Meta and TikTok, three ad sets, one angle each. Leave it paused and read the tree back so I can check it.
  • Pull last month's campaign performance across every platform. Which two creatives won, why, and what should next month's brief say?

Configuration

EnvMeaning
HERMOSO_API_BASEThe Hermoso API origin (default https://app.hermoso.ai — set http://localhost:3000 if you run the app yourself)
HERMOSO_TOKENBearer agent key (hmk_…) — required against the hosted app
HERMOSO_PROFILEProfile id, for accounts with multiple profiles
HERMOSO_OWNEROnly for a profile another account shared with you (a team workspace): the owning account id. Set it together with HERMOSO_PROFILE, and set HERMOSO_PROFILE to that workspace's profileUuid (a profile's short slug is refused). Run list_brands (or hermoso list_brands from the CLI) to print both values for every workspace you can enter. The server re-authorizes the pair on every request, so a wrong value is refused, never trusted.

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

Installation

Source-derived launch command. Check the maintainer’s required arguments and credentials before running:

bash
npx -y hermoso

Set up in your AI client

Merge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.

json
{
  "mcpServers": {
    "io-github-hermoso-ai-hermoso": {
      "command": "npx",
      "args": [
        "-y",
        "hermoso"
      ]
    }
  }
}

Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.

Claude Desktop setup reference

Package

hermosonpm

Compatible MCP Clients

Hermoso works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.

  • Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.
  • Cursor~/.cursor/mcp.jsonRestart Cursor for changes to take effect.
  • VS Code.vscode/mcp.jsonReload VS Code window for changes to take effect.
  • Windsurf~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect.
  • Claude Code.mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.

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