Cloudflare Workers MCP server: embedding-search
| Endpoint | https://api.lazy-mac.com/embedding-search/mcp (streamable-http) |
|---|---|
| Registry version | 1.0.0 |
| Now | 3 tools · grade A (99) · pin ts_1481611d38009a835f67231043a067e9 · protocol 2024-11-05 |
| First / last listed | 2026-11-04 03:00 UTC / 2026-11-04 03:00 UTC |
| Grade over time | 2026-11-04: A (99), 3 tools |
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Tools: generate_embeddings semantic_search compute_similarity
generate_embeddings | Generate vector embeddings for one or more texts using Cloudflare Workers AI (bge-base-en-v1.5, 768-dim). params: text*, model |
semantic_search | Rank a list of documents against a query using cosine similarity of bge embeddings. Returns top-k matches with scores. params: query*, documents*, top_k, model |
compute_similarity | Compute cosine similarity between two texts. Returns score in [-1,1]. Useful for dedup and relatedness. params: text_a*, text_b*, model |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.