How to Use the Internet Archive Wayback MCP in OpenAI Agents SDK
Give your OpenAI Agents SDK production agents direct access to historical web snapshots via the Internet Archive Wayback.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Internet Archive Wayback MCP to OpenAI Agents SDK
Create your Vinkius account to connect Internet Archive Wayback to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Stop guessing if historical links are actually dead.
`check_availability` checks if a URL has an active archive record and gets its closest snapshot. Your OpenAI Agents SDK agent runs this tool automatically when it encounters broken links or needs to audit external citations in real time. By executing `get_latest_capture`, the agent pulls the most recent archived version of the target page. This prevents your production pipelines from failing when live websites go offline.
Map an entire domain's historical graveyard.
`get_subdomain_captures` exposes the entire archived footprint of any target domain. Your agent parses this structured output to discover decommissioned subdomains and historical endpoints. To analyze how a site evolved over years, the agent runs `get_captures_by_year` with a four-digit year. This lets your system run historical audits without manual scraping.
Query raw CDX history with your MCP Server.
`get_cdx_captures` pulls raw historical metadata including file sizes, MIME types, and status codes. The OpenAI Agents SDK handles the tool discovery automatically, feeding this structured dataset straight into your agent's context window. Filtering results is straightforward. The agent invokes `get_captures_collapsed` to strip out redundant snapshots, keeping your token usage low and your context clean.
Set up Internet Archive Wayback MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Internet Archive Wayback tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Internet Archive Wayback tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Internet Archive Wayback tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Internet Archive Wayback Agent",
instructions="You have access to Internet Archive Wayback tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Internet Archive Wayback Machine. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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