Doc Indexer MCP Server

Example Use Cases

• 1

  Perform semantic search over diverse document formats locally.

• 2

  Integration with Claude Code CLI or other MCP-compatible tools.

• 3

  Configurable document parsing and chunking for improved search accuracy.

Description

doc-indexer-mcp is a Rust-based local document indexing server implementing the Model Context Protocol (MCP). It enables semantic search across PDFs, Excel files, SQL/PL-SQL scripts, Markdown, and HTML documents by leveraging Qdrant vector database and Voyage AI embeddings. Designed for seamless integration with Claude Code CLI and other MCP-compatible tools, it supports configurable chunking and parsing tailored to different document formats. This server facilitates efficient document retrieval and management through semantic similarity search.