# embedding-search MCP server

Cloudflare Workers MCP server: embedding-search

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-lazymac2x-embedding-search
- Repository: https://github.com/lazymac2x/embedding-search-api

## Install
- Endpoint: https://api.lazy-mac.com/embedding-search/mcp
- Auth: Not captured

## Setup notes
- Remote endpoint: https://api.lazy-mac.com/embedding-search/mcp

## Tools
- generate_embeddings - Generate vector embeddings for one or more texts using Cloudflare Workers AI (bge-base-en-v1.5, 768-dim). Endpoint: https://api.lazy-mac.com/embedding-search/mcp
- semantic_search - Rank a list of documents against a query using cosine similarity of bge embeddings. Returns top-k matches with scores. Endpoint: https://api.lazy-mac.com/embedding-search/mcp
- compute_similarity - Compute cosine similarity between two texts. Returns score in [-1,1]. Useful for dedup and relatedness. Endpoint: https://api.lazy-mac.com/embedding-search/mcp

## Resources
Not captured

## Prompts
Not captured

## Metadata
- Owner: io.github.lazymac2x
- Version: 1.0.0
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: May 16, 2026
- Source: https://registry.modelcontextprotocol.io