Vector Search API

br0ski777/vector-search-x402

This is a lightweight vector search implementation that runs in memory and uses TF-IDF with cosine similarity for document matching. The repository doesn't expose much documentation, but the core use case is clear: you need semantic search without external dependencies or heavy embedding models. It's designed to work with x402 micropayments, suggesting a pay-per-query model running on the remote endpoint at klymax402.com. Reach for this when you want basic similarity search for Claude without spinning up a vector database or paying for OpenAI embeddings. The tradeoff is simplicity over sophistication, TF-IDF won't understand semantic meaning the way transformers do, but it's fast and deterministic for keyword-adjacent matching.

tool

1

transport

SSE

last updated

May 16, 2026

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{
  "mcpServers": {
    "vector-search": {
      "url": "https://vector-search.api.klymax402.com/mcp"
    }
  }
}

curl -X POST "https://vector-search.api.klymax402.com/api/search" \
  -H "Content-Type: application/json" \
  -d '{"query":"..."}'
# -> 402 Payment Required, with an x402 payment challenge in the response body

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