# MCP server for AI agents to access Wayback Machine via HTTP API
This automation template exposes the Wayback Machine API as an MCP-compatible tool for AI agents. It allows LLMs to check for archived versions of web pages or request new snapshots — all through a simple HTTP interface. Designed for developers building extensible AI systems with external tool integrations.
## Who it´s for
- AI agent developers integrating external tools via MCP.
- Archivists and researchers using Wayback Machine in automated workflows.
- Automation builders creating MCP-compliant services for LLM agents.
## What the automation does
- Receives HTTP requests from AI agents as tool calls.
- Handles `get wayback` (check for archived copy) and `create wayback` (archive a page) commands.
- Builds GET/POST requests to api.archive.org using dynamic parameters from `$fromAI()`.
- Returns responses directly in MCP/LLM-compatible format.
- Operates as a ready-to-integrate server for LangChain and similar frameworks.
## What´s included
- Ready-to-use n8n workflow.
- Logic for handling HTTP triggers and data transformation.
- Integrations with Internet Archive API and AI Agent via MCP.
- Basic text instructions for setup and testing.
## Requirements for setup
- n8n instance with HTTP node access.
- Public access to Internet Archive API (no auth required).
- AI agent that supports MCP and can invoke HTTP-based tools.
## Benefits and outcomes
- Extends AI agent capabilities with historical web data access.
- Simplifies on-demand archiving of web content.
- Saves researchers time when verifying links from old documents.
- No complex API setup — works with any MCP-compatible agent.
- Enables scalable use of Wayback Machine in AI-driven projects.
## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via chat
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