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io.github.lazymac2x/embedding-search
io.github.lazymac2x/embedding-search · v1.0.0
No registry update 90+ days
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2024-11-05 |
| Rank score | — |
| Declared risk | Not declared (tools carry no read/destructive hints) |
| Capabilities declared | tools |
| Tool definitions | 3 tools · with description 100% · input schema is an object 100% · read/destructive hints 0% |
Description written by the publisher, not verified
Cloudflare Workers MCP server: embedding-search
Connect
streamable-http · https://api.lazy-mac.com/embedding-search/mcp
claude mcp add --transport http embedding-search https://api.lazy-mac.com/embedding-search/mcp{
"mcpServers": {
"embedding-search": {
"url": "https://api.lazy-mac.com/embedding-search/mcp"
}
}
}Tools as reported by the server
generate_embeddingsGenerate vector embeddings for one or more texts using Cloudflare Workers AI (bge-base-en-v1.5, 768-dim).semantic_searchRank a list of documents against a query using cosine similarity of bge embeddings. Returns top-k matches with scores.compute_similarityCompute cosine similarity between two texts. Returns score in [-1,1]. Useful for dedup and relatedness.
Repository · JSON · Text for agents · Registry updated 2026-05-16