io.github.Br0ski777/vector-search
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Publisher-provided title
Vector Search API
Publisher-provided description
In-memory vector search with TF-IDF and cosine similarity. x402 micropayment.
Summary by lookupd
Lets an agent index text documents in memory and run TF-IDF or cosine-similarity searches to retrieve the closest matches.
Install
Claude Code, remote (sse)
claude mcp add --transport sse vector-search https://vector-search.api.klymax402.com/mcp
Codex, remote (sse)
codex mcp add vector-search --url https://vector-search.api.klymax402.com/mcp
Cursor, remote (sse) → .cursor/mcp.json
{
"mcpServers": {
"vector-search": {
"type": "sse",
"url": "https://vector-search.api.klymax402.com/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Details
- Version: 1.1.0
- Transports: sse
- Uptime (7 days): 0%
- First indexed:
- Last seen in registry:
- Repository: https://github.com/Br0ski777/vector-search-x402
- Website: https://github.com/Br0ski777/vector-search-x402
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- Last crawl: 2026-11-11T17:38:11.606Z
- API base:
https://api.lookupd.com - MCP URL:
https://api.lookupd.com/mcp