Vector Search API
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Vector Search APIsearch for 'benefits of renewable energy' in my research papers"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Vector Search API
In-memory vector store with TF-IDF vectorization and cosine similarity search. Pay-per-call via x402 (USDC on Base L2) -- no API key, no signup, no rate-limit wall.
Part of the klymax402 marketplace -- 100 x402 micropayment APIs for AI agents, one wallet, USDC on Base.
Quickstart -- MCP
Add to your MCP client config (Claude Desktop, Cursor, ElizaOS, etc.):
{
"mcpServers": {
"vector-search": {
"url": "https://vector-search.api.klymax402.com/mcp"
}
}
}Related MCP server: Local Vector Store MCP Server
Quickstart -- HTTP (x402)
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 bodyAny x402-aware client (@x402/fetch, x402-agent-tools, ATXP) handles the 402 -> sign -> retry cycle automatically.
Tools
Tool | Method | Path | Price | Description |
| POST |
| $0.012 | Store text and search by semantic similarity |
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.
Parameters
Name | Type | Required | Description |
| array | no | Array of text documents to index (optional if already stored in this session) |
| string | yes | The text query to search for |
| number | no | Number of top results to return (default: 3, max: 10) |
| string | no | Namespace to isolate document sets (default: 'default') |
Example agent prompts
"Store text documents and search them by semantic similarity"
Payment
Protocol: x402 -- HTTP-native pay-per-call, no signup, no API key
Network: Base L2 (
eip155:8453)Asset: USDC
Facilitator: Coinbase CDP (primary), PayAI (fallback)
Part of klymax402
100 x402 micropayment APIs for AI agents -- one wallet, USDC on Base, zero signup.
Catalog: https://klymax402.com/llms.txt
Full API reference: https://klymax402.com/llms-full.txt
Live stats: https://klymax402.com/stats
License
MIT
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