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scentrev-mcp

Free
★ 13 • Updated Jul 14, 2026, 03:28 AM

scentrev-mcp is a fragrance intelligence API and Model Context Protocol (MCP) server that provides structured, queryable data on over 126,000 perfumes.

Use Cases ▼
01

Powering AI assistants with fragrance knowledge for conversational recommendations

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Comparing longevity and sillage of perfumes side-by-side

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Finding similar scents based on note pyramids and community similarity

04

Filtering fragrances by season, occasion, or budget for shopping apps

05

Enriching e-commerce platforms with structured perfume metadata

06

Building personalized perfume recommendation engines

07

Researching fragrance trends and community preferences

What Problem It Solves ▼

AI agents and applications lack access to structured, reliable fragrance data, making it difficult to answer perfume-related queries with factual metrics. scentrev-mcp fills this gap by delivering normalized community scores and detailed scent profiles through a simple API, enabling agents to reason about longevity, sillage, seasonality, and accords just as they would with any other structured domain.

Key Features ▼
✓

Extensive catalog of 126k+ fragrances with detailed metrics

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Normalized scores (0–1) with confidence counts for every metric

✓

Seamless MCP integration for AI agents like Cursor and Claude Desktop

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Free to use during the current period, no credit card required

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Comprehensive set of 14 tools covering search, profile, comparison, and more

Overview

scentrev-mcp is a fragrance intelligence API and Model Context Protocol (MCP) server that provides structured, queryable data on over 126,000 perfumes. It normalizes community-sourced metrics such as longevity, sillage, seasonality, gender lean, and appreciation into 0–1 scores with confidence counts, making the data directly usable by AI agents and applications. The service exposes 14 tools for searching, filtering, comparing, and retrieving detailed fragrance profiles, note pyramids, accords, and similar scents. It is designed to drop into MCP-compatible clients like Cursor and Claude Desktop with a single configuration block, while also offering a standard REST API with bearer-token authentication. The database covers thousands of brands and perfumers, with every endpoint returning predictable JSON. The project is built and maintained in India and is currently free to use without a credit card.

Pros & Cons

Pros

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Extensive catalog of 126k+ fragrances with detailed metrics

+

Normalized scores (0–1) with confidence counts for every metric

+

Seamless MCP integration for AI agents like Cursor and Claude Desktop

+

Free to use during the current period, no credit card required

+

Comprehensive set of 14 tools covering search, profile, comparison, and more

Cons

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Limited to the fragrance domain, not a general-purpose data source

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Requires sign-up and API key for access

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Data accuracy depends on community votes, which may vary

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No self-hosted deployment option (cloud-only service)

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Future pricing model is not yet defined

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Fragrantica (unofficial API) Parfumo Basenotes Scentbird API PerfumeDB

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