# Vector Search API MCP server

In-memory vector search with TF-IDF and cosine similarity. x402 micropayment.

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-br0ski777-vector-search
- Repository: https://github.com/Br0ski777/vector-search-x402
- Website: https://github.com/Br0ski777/vector-search-x402

## Install
- Endpoint: https://vector-search.api.klymax402.com/mcp
- Auth: Not captured

## Setup notes
- Remote endpoint: https://vector-search.api.klymax402.com/mcp

## Tools
- data_vector_search - Use this when you need to store text documents and search them by semantic similarity. Accepts documents to store and a query to search. Uses TF-IDF vectorization with cosine similarity to find the most relevant matches. Returns top-k results with similarity scores. Do NOT use for web search — use web_search_query instead. Do NOT use for keyword research — use keyword_research instead. Do NOT use for text classification — use text_classify instead. Endpoint: https://vector-search.api.klymax402.com/mcp

## Resources
Not captured

## Prompts
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## Metadata
- Owner: io.github.Br0ski777
- Version: 1.1.0
- Runtime: Sse
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: May 16, 2026
- Source: https://registry.modelcontextprotocol.io