Mammoth Brands
Mammoth Brands is the consumer packaged goods company formerly known as Harry's Inc., renamed in April 2025 to reflect a portfolio that now spans Harry's (men's shaving and grooming), Flamingo (women's hair removal and body care), Lume and Mando (whole-body deodorant) and Coterie (modern baby care). Founded in 2013 by Jeff Raider and Andy Katz-Mayfield and still privately held, it reported $835M in 2024 revenue. It runs no developer programme and publishes no OpenAPI, but two of its brands operate on Shopify and therefore expose a live, anonymous Model Context Protocol server plus a Universal Commerce Protocol merchant profile on their own domains — a real agentic-commerce surface with no documentation portal behind it.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles Mammoth Brands the way a machine reads it — 6 machine-readable artifacts across 2 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Mammoth Brands scores 20.9/100 (emerging), with a separate agent-readiness read of 28/100 (agent aware). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-08-17 · rubric v0.11.0
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<!-- Kin Score · API Evangelist -->
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title="Mammoth Brands on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/harry-s.svg"
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</a>[](https://providers.apievangelist.com/providers/harry-s/)<!-- Kin Score · API Evangelist -->
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title="Mammoth Brands on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/harry-s/card.svg"
alt="Mammoth Brands Kin Score — API readiness rating by API Evangelist" width="340" height="120" loading="lazy">
</a>More shapes, themes and sizes → · Score as JSON · How badges work
How we profile Mammoth Brands
Each block below is one kind of artifact we hold for Mammoth Brands. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 2
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Harry's Storefront MCP Server
Anonymous Model Context Protocol server exposed by the Harry's storefront at /api/mcp. Five tools — search_catalog, get_product_details, get_cart, update_cart and search_shop_po...
Flamingo Storefront MCP Server
Anonymous Model Context Protocol server exposed by the Flamingo storefront at /api/mcp, with the same five-tool surface as Harry's. Flamingo additionally publishes an llms.txt a...
MCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
harry-s-mcp.yml
MCP SERVERSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Scopes 1
OAuth scopes are the vocabulary of least-privilege access. Profiling them shows exactly what an integration — or an agent acting on a user's behalf — is allowed to do.
OAuth scopes governing access to this provider's APIs.
Resources
Every other property we hold for Mammoth Brands — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 4
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/harry-s · machine-readable index on apis.io
This is an independent, third-party profile of Mammoth Brands, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.