D

Doc Indexer

Verified Integration
Author: @eztakesinCategory: ServerApplication
JSON-RPC 2.0
Protocol Standard
Sub-second
Execution Latency
Active
Operational Status

Client Configuration

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

System Overview

Enables semantic search over local PDF, Excel, SQL, Markdown, and HTML files using a vector database and AI embeddings.

Indexed Date

7/23/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for Doc Indexer

It parses documents, generates AI embeddings (using Voyage AI or OpenAI-compatible APIs) for content chunks, and stores them in a Qdrant vector database. This allows for semantic similarity searches based on meaning, not just keywords.

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