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MCP server: workflow-level tools that let an AI agent design apparel, build products, and sync them to sales channels through the ApparelHub platform.","maintainers":[{"name":"apparelhub.ai","email":"admin@apparelhub.ai"}],"readme":"# @apparelhub/mcp-server\n\nWorkflow-level [MCP](https://modelcontextprotocol.io/) tools that let an AI agent run an\nApparelHub store end to end: set it up, design apparel, build products, list them across sales\nchannels, and work the orders and listings that come back. Each tool wraps the\n[ApparelHub Agent API](https://apparelhub.ai/agents) and bakes in the platform's hard-won\nproduction lessons, so the agent gets correct behavior for free instead of learning the gotchas\nitself.\n\nThere are two ways to run it: a **hosted connector you authorize with OAuth** (recommended, no API\nkey to handle) and this **npm package you run yourself** with a key. Both serve the identical tool\nsurface.\n\n> **Status: early access.** The npm package is pre-1.0 while the surface stabilizes. The\n> agent-facing **tool surface is v1** and is the contract we keep stable (see\n> [`CHANGELOG.md`](./CHANGELOG.md) and [Versioning](#versioning--stability)).\n\n## What makes this different\n\nA thin wrapper around a REST API just renames HTTP calls. These tools are at the **workflow\nlevel**: one `ship_product` call resolves variants, generates and waits for a mockup (through the\nwaiting until its images are actually published), creates the product with the right field names,\nadds every variant,\nassociates it with a store, and syncs to fulfillment and channels in the correct order, refusing a\nnegative-margin price and warning on known variant traps along the way. The scar tissue lives in\nthe code, not in your agent's context.\n\n## Connect\n\n**Prefer the hosted connector.** Authorizing it provisions the API key for you, so there is no\ncredential to create, paste, rotate, or leak into a config file. Reach for the self-run package\nonly when your client cannot speak remote MCP or OAuth, or when you specifically want the server\nrunning on your own machine.\n\n| | Hosted connector (OAuth) | Self-run package (API key) |\n|---|---|---|\n| Credential | Provisioned for you on approval | You create and paste an API key |\n| Local prerequisites | None | Node.js 20+, Python 3 + Pillow, optionally tesseract |\n| Transport | Remote MCP over HTTP | stdio |\n| Best for | Any client that supports remote MCP | Clients without remote/OAuth support, local control, development |\n\n### Recommended: the hosted connector\n\n```\nhttps://mcp.apparelhub.ai\n```\n\nAdd that URL to any MCP client that supports remote servers, sign in to ApparelHub, and approve.\n**You never handle an API key.** Approving the grant provisions a connector key on your account\n(or reuses the one you already have), and the hosted server resolves your session to it on every\ncall. Nothing to paste, nothing to rotate by hand, nothing sitting in a dotfile.\n\nThe hosted server also carries the imaging toolchain the design and quality tools need, so\ntransparency keying, image statistics, and OCR all work with **no local dependencies at all**: no\nNode, no Python, no Pillow, no tesseract.\n\n**Claude Code**\n\n```bash\nclaude mcp add --transport http apparelhub https://mcp.apparelhub.ai\n```\n\nThen run `/mcp` and choose **Authenticate**.\n\n**Any client that reads an MCP config file**\n\n```jsonc\n{\n  \"mcpServers\": {\n    \"apparelhub\": {\n      \"type\": \"http\",\n      \"url\": \"https://mcp.apparelhub.ai\"\n    }\n  }\n}\n```\n\n**claude.ai** — add it as a custom connector under Settings → Connectors, paste the same URL, then\nauthorize when prompted.\n\nThe bare origin above is the server's canonical address: it is the `resource` identifier its own\nOAuth metadata advertises. A path is not routed on, so an existing config pointing at\n`https://mcp.apparelhub.ai/mcp` keeps working and needs no change.\n\n#### What the handshake actually does\n\nStandard OAuth 2.1, nothing custom for you to configure. Your client discovers the authorization\nserver from `/.well-known/oauth-protected-resource` (RFC 9728), registers itself dynamically, and\nruns an authorization-code flow with PKCE (`S256`) for the `mcp` scope against\n`https://api.apparelhub.ai`. Refresh tokens and revocation are supported. Access tokens are opaque:\nthe hosted server exchanges yours for your connector key server-side, so the key is never in your\nclient, your config, or your chat history.\n\n#### Key slots and revoking\n\nOne connector key is minted per account and shared across every chat surface you grant, and it\ncounts against your plan's API key allowance. The Free plan includes API access with one slot, so\nif that slot is already taken by a self-service key the consent screen says so and offers to free\nit or upgrade. To revoke, disconnect from the client that holds the grant, or delete the connector\nkey at <https://apparelhub.ai/developer/api-keys>.\n\n### Alternative: run the package yourself\n\nRequirements:\n\n- **Node.js 20+**.\n- An **ApparelHub account and API key** — generate one at\n  <https://apparelhub.ai/developer/api-keys>.\n- For the design + quality tools only: **Python 3 with Pillow** (transparency keying, image QC)\n  and optionally **tesseract** (OCR text detection). These run locally; if they're missing, those\n  tools return a clear notice telling you exactly what to install, and never crash.\n\nThe server reads your key from the `APPARELHUB_API_KEY` environment variable at startup and speaks\nMCP over stdio. It never accepts the key as a tool argument, and the API host is pinned (no\noverride).\n\n#### Claude Code\n\n```jsonc\n// ~/.claude/mcp.json (or a project .mcp.json)\n{\n  \"mcpServers\": {\n    \"apparelhub\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@apparelhub/mcp-server\"],\n      \"env\": { \"APPARELHUB_API_KEY\": \"your-key-here\" }\n    }\n  }\n}\n```\n\n#### Cursor\n\n```jsonc\n// .cursor/mcp.json\n{\n  \"mcpServers\": {\n    \"apparelhub\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@apparelhub/mcp-server\"],\n      \"env\": { \"APPARELHUB_API_KEY\": \"your-key-here\" }\n    }\n  }\n}\n```\n\n#### Aider\n\n```yaml\n# .aider.conf.yml\nmcp-servers:\n  apparelhub:\n    command: npx\n    args: [\"-y\", \"@apparelhub/mcp-server\"]\n    env:\n      APPARELHUB_API_KEY: your-key-here\n```\n\n#### Any other MCP client\n\nSame shape everywhere: run `npx -y @apparelhub/mcp-server` with `APPARELHUB_API_KEY` in its\nenvironment.\n\n#### Environment variables\n\n| Variable | Purpose |\n|---|---|\n| `APPARELHUB_API_KEY` | **Required.** Your ApparelHub API key. Not needed on the hosted connector. |\n| `APPARELHUB_MCP_TELEMETRY` | Set to `off` to disable the coarse usage signal (see [Privacy](#privacy)). |\n| `APPARELHUB_MCP_PYTHON` | Path to the Python 3 interpreter for the local image tools (default `python3`). |\n\n## Tools\n\n121 tools. [`docs/TOOLS.md`](./docs/TOOLS.md) walks through the core groups; call `tools/list` from\nyour agent for the authoritative live schemas.\n\n- **Setup & connect** — `check_setup_readiness` (what the account has, what it needs, the single\n  next action), `list_connectable_providers`, `connect_fulfillment_provider` and\n  `connect_sales_channel` (API-token providers connected entirely in chat), plus\n  `start_channel_connect` / `check_connection_status` for the browser-based ones (Printful,\n  Shopify, TikTok Shop, Fourthwall).\n- **Read** — `list_my_workspaces`, `list_my_stores`, `list_my_designs`, `list_my_products`,\n  `list_my_orders`, `get_order_details`.\n- **Catalog** — `browse_catalog`, `get_garment_details`, `find_garments` (search every connected\n  provider at once for a capability), `recommend_garment`, `list_catalog_providers`.\n- **Design** — `design_apparel`, `iterate_design`, `upload_design` (bring artwork the merchant\n  already owns), `fit_aspect` (quota-free reshape), design lifecycle (`archive_design`,\n  `restore_design`, `delete_design`), and split primitives `generate_image`,\n  `process_transparency`, `verify_design_text`.\n- **Product** — `ship_product`, `update_product`, `delete_product`, `unsync_from_channel`,\n  `diagnose_tiktok_listings`, and split primitives `create_product`, `add_variants`,\n  `sync_to_fulfillment`, `sync_to_channel`.\n- **Orders** — lifecycle (`approve_order`, `unapprove_order`, `hold_order`, `cancel_order`,\n  `confirm_order`, `submit_order_to_fulfillment`, `check_order_status`, `reconcile_order`),\n  draft edits (`add_order_item`, `remove_order_item`), and design-approval holds\n  (`list_order_holds`, `approve_order_hold`, `request_hold_changes`).\n- **Fulfillment issues** — `report_fulfillment_issue` (report a defect on an order),\n  `list_fulfillment_issues` (per-order or workspace-wide inbox), `check_fulfillment_issue` (full\n  issue plus the provider-ready problem report), `resolve_fulfillment_issue` (record the provider\n  filing, close with a resolution, or create a replacement order).\n- **Channel intelligence** — what the sales channel itself reports and what you can set on it:\n  `channel_performance`, `channel_opportunities`, `channel_coverage`, `listing_changes` (did the\n  last edit actually work), `describe_listing_attributes`, `set_listing_attributes`,\n  `set_channel_settings`, `import_size_measurements`.\n- **Analytics** — `analytics_summary`, `analytics_timeseries`, `analytics_breakdown`,\n  `analytics_ops`, `analytics_portfolio`.\n- **Collections** — `list_collections`, `get_collection`, `create_collection`, `update_collection`,\n  `delete_collection`, `add_products_to_collection`, `remove_product_from_collection`,\n  `sync_collection`.\n- **Cross-workspace transfer** — `copy_product_to_workspace`, `move_product_to_workspace`,\n  `check_product_move`, and the design equivalents.\n- **Workspace & team management** (agency / Enterprise, account-wide key) — workspaces\n  (`create_workspace`, `update_workspace`, `delete_workspace`, `check_workspace_deletion`,\n  `assign_workspace_member`, `unassign_workspace_member`, `move_store_to_workspace`,\n  `get_role_matrix`) and team (`get_account_overview`, `list_account_members`, `remove_member`,\n  `invite_member`, `list_invites`, `revoke_invite`, `resend_invite`, `accept_invite`).\n- **Store & order management** — store settings/lifecycle (`get_store_settings`,\n  `update_store_settings`, `create_store`, `archive_store`, `unarchive_store`, `activate_store`),\n  order payment/ops (`record_order_payment`, `mark_order_no_payment`, `set_order_payment_method`,\n  `sync_orders`, `estimate_order_costs`, `get_orders_summary`, `list_pending_fulfillments`), and\n  `archive_product` / `restore_product`.\n- **Systems of action** — `analyze_what_works`, `auto_optimize_listings`, `cascade_price_change`,\n  `set_prices_by_margin`, `recover_from_outage`.\n- **Safety** — `verify_design_quality`, `verify_mockup_quality`, `check_design_compliance`.\n- **API escape hatch** — `get_api_reference` (discover the full agent API from the live OpenAPI\n  spec) and `api_request` (call any `/agents/v1` endpoint when no dedicated tool fits).\n\nRead tools are read-only. Product and design tools default to **draft, never live**, enforce\npricing floors, and guard known variant traps. Systems-of-action mutations default to a **dry run**\nand only take safe actions (archive, never delete) when applied. Every product/order/store result\ncarries a `view_url` back into apparelhub.ai. Errors come back in a consistent shape\n(`{error: {code, message, retry_after?, suggestion?}}`) — tools never throw across the MCP boundary.\n\n`get_api_reference` also reports what the server you are actually talking to serves — its version,\ntool count, and every tool name — so an agent can tell \"that tool does not exist\" apart from \"my\ncached tool list is stale\" instead of guessing.\n\n## Privacy\n\nAn optional, coarse usage signal helps improve the tools. It sends **only** non-identifying\nfeatures — the tool name, outcome, latency, error code, and a strict allowlist of coarse fields\n(e.g. AI source name, garment category). It **never** sends prompts, images, ids, URLs, or customer\ndata. It's buffered and fire-and-forget (it can never affect a tool call). Turn it off entirely\nwith `APPARELHUB_MCP_TELEMETRY=off`.\n\nThe hosted connector additionally records one operational metric per request (outcome, latency, and\nfor a tool call the tool name). It carries no per-identity dimension and no user data.\n\n## Skill vs. MCP vs. recipes\n\nApparelHub ships the agent surface in three forms:\n\n- The **[markdown skill](https://github.com/ApparelHub-AI/apparelhub-skills)** is the\n  lowest-friction way to use ApparelHub from Claude Code — it teaches the agent the REST API and\n  the design rules directly.\n- This **MCP server** turns that knowledge into a typed, callable tool surface (with the\n  systems-of-action tools) that works across any MCP-capable agent, and, through the hosted\n  connector, in chat surfaces that cannot run a skill or a local process at all.\n- The **[recipes](https://github.com/ApparelHub-AI/apparelhub-recipes)** are end-to-end operating\n  blueprints you drop into your agent's runtime: a charter the agent follows, a memory model it\n  keeps across runs, and the prompts to start it. They drive this tool surface, with money and\n  go-live gates on by default.\n\nUse the skill for a quick start in Claude Code; use the MCP server when you want typed tools, the\nhigher-order workflows, or a client other than Claude Code; use a recipe when you want the agent\nto run a whole store pattern rather than answer one request at a time.\n\n## Development\n\n```bash\nnpm ci\nnpm run build      # tsc -> dist/\nnpm run typecheck\nnpm run lint\nnpm test           # vitest\n```\n\nThe image tools shell out to bundled Python scripts in [`python/`](./python); the imaging layer is\ninjectable, so the tool orchestration is unit-tested with a fake and the scripts are smoke-tested\ndirectly.\n\n## Versioning & stability\n\nThe **tool surface** is versioned separately from the package (this is v1). When the underlying\nREST API evolves, the server adapts internally — the agent-facing tool names + shapes stay stable.\nThat's the contract that lets you install once and keep working. Package releases follow\n[Semantic Versioning](https://semver.org/); see [`docs/RELEASING.md`](./docs/RELEASING.md).\n\nOn the hosted connector you are always on the current version, which is another reason to prefer\nit: new tools appear without you upgrading anything. Clients cache the tool list, so ask\n`get_api_reference` if you suspect yours has fallen behind.\n\n## License\n\nMIT © ApparelHub. See [`LICENSE`](./LICENSE).\n","readmeFilename":"README.md"}