content-core

Description

content-core is an open-source MCP server for intelligent content extraction from URLs, documents, videos, and audio files. It automatically selects the appropriate extraction engine and supports multiple content types, making it suitable as a backend component for AI workflows and tools that need structured text from diverse media sources.

Key Details

• Type: Open-source MCP server / content extraction tool
• Category: Content extraction & summarization MCP servers
• License: MIT
• Source: https://github.com/lfnovo/content-core

Features

• Multi-source content extraction

  • Extracts content from web URLs
  • Handles documents (e.g., typical file-based content)
  • Processes video sources
  • Processes audio sources

• Automatic engine selection

  • Chooses the appropriate extraction engine based on input type
  • Aims to abstract away low-level handling of different media formats

• Multi-format / multi-type support

  • Designed to work across different media formats under a unified interface
  • Suitable for building pipelines that combine text from web, document, video, and audio sources

• MCP server integration

  • Implements the Model Context Protocol (MCP) for integration with AI assistants and tools that speak MCP
  • Can serve as a central content-ingestion component for AI workflows

• Developer-focused repository assets

  • docs/ directory with project documentation
  • examples/ directory for sample usage and integration patterns
  • specs/ for protocol or API specifications
  • Tests included for core functionality

Pricing

• content-core is open source under the MIT license. It can be used, modified, and self-hosted without licensing fees.
• No paid plans or commercial pricing tiers are listed in the provided content.