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Embedding Search

io.github.lazymac2x/embedding-search · v1.0.0

Cloudflare Workers MCP server: embedding-search

Connect Remote server

Terminal
claude mcp add --transport http embedding-search https://api.lazy-mac.com/embedding-search/mcp
~/.cursor/mcp.json
{
  "mcpServers": {
    "embedding-search": {
      "url": "https://api.lazy-mac.com/embedding-search/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "embedding-search": {
      "type": "http",
      "url": "https://api.lazy-mac.com/embedding-search/mcp"
    }
  }
}
Claude Desktop
Settings > Connectors > Add custom connector
URL: https://api.lazy-mac.com/embedding-search/mcp

Tools 3 found in our last check

  • 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.

Details

Endpointhttps://api.lazy-mac.com/embedding-search/mcp (Streamable HTTP)
First published16 May 2026
Last updated16 May 2026
Registry nameio.github.lazymac2x/embedding-search

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