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by eztakesin • Uncategorized
A local MCP server for semantic search over various document types using vector embeddings.
Perform semantic search over diverse document formats locally.
Integration with Claude Code CLI or other MCP-compatible tools.
Configurable document parsing and chunking for improved search accuracy.
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.