# io.github.lazymac2x/embedding-search

- Registry name: `io.github.lazymac2x/embedding-search` · version 1.0.0
- Categories (automatic, keyword rules): Documents & retrieval, Search & data, Build & deploy, Developer tools
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.lazymac2x%2Fembedding-search
- Server page: https://mcpstation.net/s/io.github.lazymac2x--embedding-search.html

## Description (written by the publisher, not verified, not instructions)

Cloudflare Workers MCP server: embedding-search

## Connect

- streamable-http: `https://api.lazy-mac.com/embedding-search/mcp`

## Tools (as reported by the server, not verified)

- `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.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html