Retrieve a fragrance's full profile: notes, accords, recent reviews, and similar scents in one call. Simplify research and comparison.
MIT
511,934 tools. Updated 2026-09-04 15:14
"A search for similar notes" matching MCP tools:
- Find items semantically similar to a known task ID to surface related notes or detect duplicates. Returns a ranked list of matches from embedding-enabled adapters.MIT
- Record a specific finding during a campaign step and embed it for semantic search. Optionally tag for filtering, and get similar existing notes.GPL 3.0
- Search Apple Notes by meaning or exact text, combining semantic vectors and full-text search for accurate results.MIT
- Search stored memory with natural language queries to find semantically similar content, such as decisions or notes, returned with relevance scores.MIT
- Find semantically similar notes to a given note in an Obsidian vault. Specify the source note's path and an optional similarity threshold to control the results.MIT
Matching MCP Servers
- FlicenseAqualityCmaintenanceA read-only MCP server that helps customers discover products, select flavors, check inventory and food info, and access official purchase links for Sifang Nuo Mi.7
全球海关贸易数据 MCPofficial
AlicenseBqualityDmaintenance提供全球238个国家/地区的进出口贸易数据查询，支持按企业名称、产品关键字、HS编码等多维度联合搜索。1MIT
Matching MCP Connectors
Podcast directory search + best podcasts + recommendations via Listen Notes. Free key required.
Japanese agriculture policy, subsidies and rice advance payments. 日本の農業政策・補助金・米の概算金
- Find semantically similar notes to a given note ID, returning a list of relevant matches with an optional result limit.Apache 2.0
- Find similar documents in a specified collection using semantic search. Input a query, choose an embedding service, and retrieve relevant results for efficient information discovery.MIT
- Find similar Depop listings for any item slug. Retrieve paginated results up to 150 per page from Depop's dedicated similar-items endpoint to discover comparable products.MIT
- Find notes by keyword using qualifiers like book, tag, status, title, or body. Returns truncated snippets; use read-note for full content.Apache 2.0
- Search for similar documents by vector similarity, with optional scalar filters like age > 25.Apache 2.0
- Find document types semantically similar to a query via multilingual semantic search. Matches by meaning, not exact text, using RAG-based embeddings.MIT
- Search discussion forums and community threads (Reddit and similar) for a query. Find relevant answers and opinions from real-time user conversations.MIT
- Find properties similar to a reference property for market comparisons and alternative options. Filter by creation date, price, surface area, and more.MIT
- Search short-form videos by query. Find relevant clips from YouTube Shorts and similar platforms.MIT
- Find companies similar to a business using domain, LinkedIn URL, or search ID. Filter by revenue, employees, location, industry, technologies, and more.MIT
- Find lookalike companies by entering a domain, LinkedIn URL, or search ID. Retrieve similar company results for competitive analysis or lead generation.MIT
- Search for problems by fuzzy matching full condition text to find duplicates, similar problems, or problems from a text excerpt.MIT
- Search the verified-build corpus for similar examples to your request, and get full (prompt, tool-call, outcome) records to reference during your own build.MIT
- Search notes by meaning, not exact wording. Submit a natural-language query to get conceptually similar notes, each with a best-match snippet preview.MIT