io.github.lazymac2x/embedding-search
up checked
Unclaimed · Unverified
Agent searches it appeared in, last 30 days: 0. Run this server? Claim the listing: verified label, uptime alerts and analytics.
Publisher-provided description
Cloudflare Workers MCP server: embedding-search
Summary by lookupd
Lets agents embed texts, compare their cosine similarity, and rank documents against a query for semantic search.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http embedding-search https://api.lazy-mac.com/embedding-search/mcp
Codex, remote (streamable-http)
codex mcp add embedding-search --url https://api.lazy-mac.com/embedding-search/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"embedding-search": {
"url": "https://api.lazy-mac.com/embedding-search/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (3 tools)
Publisher-provided text
generate_embeddingsGenerate vector embeddings for one or more texts using Cloudflare Workers AI (bge-base-en-v1.5, 768-dim).semantic_searchRank a list of documents against a query using cosine similarity of bge embeddings. Returns top-k matches with scores.compute_similarityCompute cosine similarity between two texts. Returns score in [-1,1]. Useful for dedup and relatedness.
Details
- Version: 1.0.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 590 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/lazymac2x/embedding-search-api
Badge for your README
Shows this live status and links here; updates hourly.
[](https://lookupd.com/servers/io.github.lazymac2x/embedding-search)
- 62033 servers
- Last crawl: 2026-11-11T15:38:39.561Z
- API base:
https://api.lookupd.com - MCP URL:
https://api.lookupd.com/mcp