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embedding-search

by FastDrop

MCP Verified 3 days ago Registry import free

Cloudflare Workers MCP server: embedding-search

Cloudflare Workers MCP server: embedding-search Official MCP Registry: io.github.lazymac2x/embedding-search@1.0.0. Remote endpoint: https://api.lazy-mac.com/embedding-search/mcp

Problem it solves

Discoverable MCP server listed in the official MCP Registry.

How it's different

Remote MCP endpoint ingested from the official registry and probed by FastDrop.

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as io.github.lazymac2x/embedding-search and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 27 Oct 2026. Not supplied by the maker.

  • 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.

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Matched on shared tags and the tools their MCP servers actually expose.

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