How far back does the Wayback Machine go?

The Wayback Machine has archived web pages since 1996. However, coverage varies significantly — major websites have captures going back 20+ years, while smaller or newer sites may have fewer or no captures. Use get_first_capture to find the earliest archived version of any URL.

Can I find captures that returned 404 errors?

Yes! Use get_captures_by_status with status_code="404". This returns all archived versions where the page returned a Not Found error. This is useful for tracking when pages were removed or URLs changed structure.

Can I discover all subdomains of a website that have been archived?

Yes! Use get_subdomain_captures with the base domain (e.g., "example.com"). This returns captures for all subdomains like www.example.com, blog.example.com, api.example.com, etc. It's useful for mapping the full archival footprint of an organization's web presence.

Internet Archive Wayback MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Internet Archive Wayback
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Internet Archive Wayback through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Internet Archive Wayback "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Internet Archive Wayback?"
    )
    print(result.data)

asyncio.run(main())

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About Internet Archive Wayback MCP Server

Connect the Internet Archive Wayback Machine to any AI agent and access the world's largest web archive — 800B+ archived web pages spanning 25+ years of internet history.

Pydantic AI validates every Internet Archive Wayback tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

URL Availability Check — Verify if any URL has been archived and find the latest snapshot
Full CDX Capture History — Get detailed capture history with timestamps, status codes, MIME types, and sizes
Filter by Year — Find all captures from a specific year for temporal analysis
Filter by HTTP Status — Find captures that returned specific status codes (200, 404, 301, 500)
Filter by MIME Type — Find captures of specific resource types (HTML, images, PDFs, CSS)
First Capture — Find when a URL was first archived
Latest Capture — Find the most recent archived version of a URL
Capture Count — Get the total number of times a URL has been archived
Deduplicated Captures — Get unique captures collapsed by URL key
Subdomain Discovery — Find all archived subdomains of a domain

The Internet Archive Wayback MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Internet Archive Wayback to Pydantic AI via MCP

Follow these steps to integrate the Internet Archive Wayback MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Internet Archive Wayback with type-safe schemas

Why Use Pydantic AI with the Internet Archive Wayback MCP Server

Pydantic AI provides unique advantages when paired with Internet Archive Wayback through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Internet Archive Wayback integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Internet Archive Wayback connection logic from agent behavior for testable, maintainable code

Internet Archive Wayback + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Internet Archive Wayback MCP Server delivers measurable value.

Type-safe data pipelines: query Internet Archive Wayback with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Internet Archive Wayback tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Internet Archive Wayback and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Internet Archive Wayback responses and write comprehensive agent tests

Internet Archive Wayback MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Internet Archive Wayback to Pydantic AI via MCP:

check_availability

Returns the closest (most recent) snapshot timestamp and availability status. Use this to verify if a page is preserved and find its latest archived version. Check if a URL has been archived by the Wayback Machine

get_capture_count

Use this to measure how frequently a page has been preserved over time. Get the total number of captures for a URL

get_captures_by_mime_type

Common types: "text/html" (web pages), "image/jpeg" (JPEG images), "application/pdf" (PDFs), "text/css" (stylesheets). Use this to find specific resource types in the archive. Get captures filtered by MIME type

get_captures_by_status

Common codes: "200" (OK), "404" (Not Found), "301" (Redirect), "500" (Server Error). Use this to analyze site availability patterns over time. Get captures filtered by HTTP status code

get_captures_by_year

Use this to analyze archival frequency or find snapshots from a particular year. Year should be 4-digit format (e.g., "2020"). Get captures filtered by a specific year

get_captures_collapsed

This shows unique page captures without redundant entries for the same page. Use this for a cleaner view of archived content. Get captures deduplicated by URL key

get_cdx_captures

Each capture includes timestamp, original URL, MIME type, HTTP status code, and file size. Use this for comprehensive archival analysis. Optional limit parameter controls maximum results. Get detailed capture history from the CDX server

get_first_capture

Includes the timestamp, status code, and original URL. Use this to find when a page was first preserved. Get the first (earliest) capture of a URL

get_latest_capture

Includes timestamp, status code, and URL. Use this to find the newest preserved version of a page. Get the most recent capture of a URL

get_subdomain_captures

g., *.example.com). Use this to discover the archival footprint of an entire domain, finding all subdomains that have been preserved. Get captures for all subdomains of a domain

Example Prompts for Internet Archive Wayback in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Internet Archive Wayback immediately.

"Check if https://example.com has been archived."

"Show me all captures of https://example.com from 2020."

"Find all subdomains of archive.org that have been captured."

Troubleshooting Internet Archive Wayback MCP Server with Pydantic AI

Common issues when connecting Internet Archive Wayback to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Internet Archive Wayback + Pydantic AI FAQ

Common questions about integrating Internet Archive Wayback MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Internet Archive Wayback MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.