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VectorCache Semantic Vector Cache

MCP server · by pgalyen1987

Databases npm v1.0.2

x402-gated semantic vector cache for agent swarms: Redis-backed similarity lookup. Paid in USDC.

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Install

Run one of the commands below, then add the client config underneath.

npmnpx -y @nodeproxy/vectorcache

Client configuration

Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.

mcpServers{
  "mcpServers": {
    "vectorcache": {
      "command": "npx",
      "args": [
        "-y",
        "@nodeproxy/vectorcache"
      ]
    }
  }
}

About this server

VectorCache Semantic Vector Cache is listed in the Databases category of the MCPNav directory. It is distributed as npm and can be loaded by any client that speaks the Model Context Protocol.

Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.

Frequently asked questions

What is the VectorCache Semantic Vector Cache MCP server?

VectorCache Semantic Vector Cache is an MCP server by pgalyen1987. x402-gated semantic vector cache for agent swarms: Redis-backed similarity lookup. Paid in USDC.

How do I install VectorCache Semantic Vector Cache?

Install it with: npx -y @nodeproxy/vectorcache. Then add the JSON config to your client's MCP settings and restart the client.

Is VectorCache Semantic Vector Cache free to use?

The MCP server itself is free to install. The source is public on https://github.com/pgalyen1987/NodeProxy. Any third-party API it calls (such as a search or maps API) may require its own key and billing.

Which clients support VectorCache Semantic Vector Cache?

Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.