How to Use the Internet Archive Wayback MCP in Vercel AI SDK
Stream archival data directly into your Vercel AI SDK interface. Stop waiting for spinners and show live history to your users.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Internet Archive Wayback MCP to Vercel AI SDK
Create your Vinkius account to connect Internet Archive Wayback to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Real-time archival status in AI SDK
Feed live snapshots into your UI components without delay. Use `check_availability` to confirm if a URL exists in the archive before your agent attempts to summarize the content. Your users see the status updates as they happen. This MCP Server ensures your Vercel AI SDK frontend stays responsive while handling historical data requests.
Targeted capture retrieval for interfaces
Drill down into specific versions using `get_captures_by_year` or `get_captures_by_mime_type`. This avoids cluttering your state with unnecessary capture metadata. Your application logic keeps the UI clean by filtering exactly what the user needs. You get precise control over the data payload before it hits your streaming response.
Visualizing site evolution with tools
Chart the history of any domain by processing the output of `get_capture_count`. Your agent interprets these metrics to tell a story about a site's lifespan. It works by feeding raw counts into your generative model. The resulting UI shows clear, data-backed insights into how frequently a resource changed over time.
Set up Internet Archive Wayback MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all Internet Archive Wayback tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 4
Works with any model provider
Swap
openai("gpt-4o")for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
const transport = new StreamableHTTPClientTransport(
new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);
const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "List recent Internet Archive Wayback transactions",
});
console.log(text);
await mcpClient.close(); 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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Built-in savings
60%
lower AI costs
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Common questions about Internet Archive Wayback MCP in Vercel AI SDK
Use it with your favorite AI tools
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