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Vector Search X402 MCP Server

AI & MLLow Risk10.0MCP RegistryRemote
Free

Server data from the Official MCP Registry

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

About

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

Remote endpoints: sse: https://vector-search.api.klymax402.com/mcp

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. Trust signals: trusted author (184/189 approved).

1 tool verified · Open access · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

file_system

Check that this permission is expected for this type of plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Check that this permission is expected for this type of plugin.

database

Check that this permission is expected for this type of plugin.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "io-github-br0ski777-vector-search": {
      "url": "https://vector-search.api.klymax402.com/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

Vector Search API

MCP Server x402 License: MIT

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"
    }
  }
}

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 body

Any x402-aware client (@x402/fetch, x402-agent-tools, ATXP) handles the 402 -> sign -> retry cycle automatically.

Tools

ToolMethodPathPriceDescription
data_vector_searchPOST/api/search$0.012Store 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

NameTypeRequiredDescription
documentsarraynoArray of text documents to index (optional if already stored in this session)
querystringyesThe text query to search for
topKnumbernoNumber of top results to return (default: 3, max: 10)
namespacestringnoNamespace 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.

License

MIT

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Vector Search X402 MCP Server - In-memory vector search with TF-IDF and cosine similarity. | MCP Marketplace