Doc Indexer
Verified IntegrationClient Configuration
— Connect Doc Indexer to Claude Desktop or Cursor in seconds{
"mcpServers": {
"doc-indexer": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-doc-indexer"
],
"env": {}
}
}
}~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).System Overview
Enables semantic search over local PDF, Excel, SQL, Markdown, and HTML files using a vector database and AI embeddings.
7/23/2026
Open Source
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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