Doc Lib
0
Manages document ingestion, chunking, semantic search, and note management.
About
Doc Lib is a Model Context Protocol (MCP) server that facilitates document processing for AI applications. It allows users to ingest various file types (Markdown, Python, OpenAPI, HTML) and URLs, chunk them into manageable segments, perform semantic searches, and manage notes. The server offers tools for adding notes, ingesting content, searching chunks, deleting sources or chunks, updating chunk metadata, and retrieving context for AI models. It also supports batch ingestion and tagging for enhanced organization and retrieval of information.
Key Features
- Ingests and chunks Markdown, Python, OpenAPI, and HTML files.
- 0 GitHub stars
- Provides tools to add, delete, and update chunks and their metadata.
- Performs semantic search over ingested content with filtering options.
- Supports batch ingestion and tagging of documentation files.
- Manages notes with a custom URI scheme.
Use Cases
- Providing context to AI models by retrieving relevant document chunks.
- Building knowledge bases from various document formats.
- Implementing semantic search in documentation or code repositories.
Sponsored