io.github.lazymac2x/embedding-search · v1.0.0 · docs-and-knowledge
io.github.lazymac2x/embedding-search is healthy: it completed an MCP handshake in 287 ms and exposes 3 tools. It scores 66/100.
Cloudflare Workers MCP server: embedding-search
Endpoint: https://api.lazy-mac.com/embedding-search/mcp (streamable-http)
Repository · JSON · Add to my inventory
| health | 24.9 / 25 |
| authEase | 15 / 15 |
| toolQuality | 15 / 15 |
| maintenance | 3 / 15 |
| adoption | 0 / 10 |
| usage | 0 / 10 |
| security | 8 / 10 |
Scoring v0.3, computed 2026-10-15T04:45:49.261Z.
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-15T04:45:34.068Z | Healthy | 287 |
generate_embeddings | Generate vector embeddings for one or more texts using Cloudflare Workers AI (bge-base-en-v1.5, 768-dim). |
semantic_search | Rank a list of documents against a query using cosine similarity of bge embeddings. Returns top-k matches with scores. |
compute_similarity | Compute cosine similarity between two texts. Returns score in [-1,1]. Useful for dedup and relatedness. |