io.github.lazymac2x/embedding-search
Official3 toolsby lazymac2x
Cloudflare Workers MCP server: embedding-search
Search using embeddings and vector similarity on Cloudflare Workers.
Captured live from the server via tools/list.
generate_embeddings
Generate vector embeddings for one or more texts using Cloudflare Workers AI (bge-base-en-v1.5, 768-dim).
Parameters (2)
- textanyrequired
Text or array of texts to embed
- modelstring
CF AI model ID override
semantic_search
Rank a list of documents against a query using cosine similarity of bge embeddings. Returns top-k matches with scores.
Parameters (4)
- querystringrequired
Search query
- documentsarrayrequired
Candidate documents to rank
- top_kinteger
Number of results (default 5)
- modelstring
CF AI model ID override
compute_similarity
Compute cosine similarity between two texts. Returns score in [-1,1]. Useful for dedup and relatedness.
Parameters (3)
- text_astringrequired
- text_bstringrequired
- modelstring
README not available yet.
Install
claude_desktop_config.json
{
"mcpServers": {
"embedding-search": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://api.lazy-mac.com/embedding-search/mcp"
]
}
}
}Desktop config is stdio-only; this bridges via mcp-remote. Native remote: Settings > Connectors.