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Embedding Storage

Verified Integration
Author: @RichardFelix999•Category: ServerApplication
GitHub Repository
JSON-RPC 2.0
Protocol Standard
Sub-second
Execution Latency
Active
Operational Status
Tags:#Claude#Search#Database#API#Git#AI#GitHub#Node.js

Client Configuration

— Connect Embedding Storage to Claude Desktop or Cursor in seconds
{
  "mcpServers": {
    "embedding-storage": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-embedding-storage"
      ],
      "env": {}
    }
  }
}
Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).
Architecture & Capabilities

System Overview

Stores and retrieves information using vector embeddings to enable semantic search capabilities.

Indexed Date

7/23/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for Embedding Storage

It automatically generates vector embeddings for your stored content. When you search, it compares your query's embedding to the stored content embeddings, finding results based on semantic similarity rather than just keyword matches.

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