ArchiveBox
Provides a Python wrapper for the ArchiveBox API and operates as a Model Context Protocol (MCP) server for Agentic AI.
About
This tool offers a comprehensive Python wrapper for the ArchiveBox API, enabling programmatic access to web archiving functionality. It integrates seamlessly as a Model Context Protocol (MCP) server, designed to support Agentic AI applications with robust capabilities. The server features a wide array of authentication mechanisms, including JWT, OAuth, and OIDC, alongside essential middleware for logging, rate limiting, and error handling. Furthermore, it supports optional policy-based authorization through Eunomia, ensuring secure and controlled access. Deployment is flexible, with support for running as a CLI tool or deploying as a service via Docker and Docker Compose, facilitating integration into diverse environments, particularly for AI-driven workflows.
Key Features
- Programmatic access to ArchiveBox API for snapshots, tags, and CLI commands
- Integrated middleware for logging, timing, rate limiting, and error handling
- 0 GitHub stars
- Support for multiple authentication types (JWT, OAuth Proxy, OIDC Proxy, Static, Remote OAuth)
- Optional policy-based authorization with embedded or remote Eunomia server
- Flexible deployment options, including Docker, Docker Compose, and direct execution
Use Cases
- Automating web archiving tasks and content management via Python scripts
- Integrating ArchiveBox functionality into Agentic AI systems and workflows
- Deploying a secure and highly configurable ArchiveBox API endpoint as a service
