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Internet Archive Search MCP Server for Mastra AI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Internet Archive Search through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "internet-archive-search": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Internet Archive Search Agent",
    instructions:
      "You help users interact with Internet Archive Search " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Internet Archive Search?"
  );
  console.log(result.text);
}

main();
Internet Archive Search
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Internet Archive Search MCP Server

Connect Internet Archive Search to any AI agent and perform advanced searches across the world's largest digital library — 40M+ items including books, films, music, software, and images.

Mastra's agent abstraction provides a clean separation between LLM logic and Internet Archive Search tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Universal Search — Complex queries with AND, OR, NOT, wildcards, field-specific searches
  • Collection Browsing — Explore curated collections (Prelinger, Gutenberg, NASA, TV News)
  • Media Type Filtering — Search by format: texts, movies, audio, software, images
  • Creator/Author Search — Find all works by a specific person or organization
  • Date Range Search — Discover content from specific decades or year ranges
  • Subject Search — Find items by curated topic keywords
  • Top Downloads — See what's most popular across the archive
  • Language Search — Find content in specific languages
  • Publisher Search — Find all content from specific publishers
  • Recent Items — Discover newly uploaded content
  • Faceted Search — Analyze search results by category distributions

The Internet Archive Search MCP Server exposes 12 tools through the Vinkius. Connect it to Mastra 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 Search to Mastra AI via MCP

Follow these steps to integrate the Internet Archive Search MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 12 tools from Internet Archive Search via MCP

Why Use Mastra AI with the Internet Archive Search MCP Server

Mastra AI provides unique advantages when paired with Internet Archive Search through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Internet Archive Search without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Internet Archive Search tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Internet Archive Search + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Internet Archive Search MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Internet Archive Search, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Internet Archive Search as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Internet Archive Search on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Internet Archive Search tools alongside other MCP servers

Internet Archive Search MCP Tools for Mastra AI (12)

These 12 tools become available when you connect Internet Archive Search to Mastra AI via MCP:

01

faceted_search

The facets parameter uses JSON faceting syntax (e.g., "mediatype:{type:terms,field:mediatype}"). Use this to understand the composition of search results by categories like media type, collection, or creator. Search with faceted results for category analysis

02

search

Supports AND, OR, NOT, wildcards (*), and field searches. Use this for broad discovery. Optional: fields (e.g., "identifier,title,mediatype"), rows (1-100), page for pagination, and sort (e.g., "date desc"). Universal search across 40M+ items in the Internet Archive

03

search_by_collection

Use this to explore themed collections. Search items within a specific Internet Archive collection

04

search_by_creator

Creator names should match item metadata. Examples: "George Orwell", "NASA", "Charlie Chaplin", "Project Gutenberg". Use this to find the complete works of an author or content from an organization. Search for all items by a specific creator or author

05

search_by_date_range

Combines a text query with year filtering. Example: query="science fiction", startYear="1950", endYear="1959" finds 1950s sci-fi. Use this for historical content discovery. Search for items within a specific year range

06

search_by_language

Examples: "English", "French", "Spanish", "Portuguese", "German". Use this to find content in a specific language. Search for items in a specific language

07

search_by_mediatype

Use this to filter by format type. Search for items of a specific media type

08

search_by_publisher

Examples: "Penguin Books", "Marvel Comics", "National Geographic". Use this to find all content from a specific publisher. Search for items by publisher name

09

search_by_subject

Subjects are curated topics assigned to items. Examples: "world war 2", "science fiction", "civil rights", "jazz music". Use this to find content about specific topics across all collections. Search for items by subject or topic

10

search_fulltext

Returns identifier, title, and description. Use this when you need to find items containing specific terms in their descriptions. Limited to 25 results by default. Full-text search across item descriptions and metadata

11

search_recent

Use this to discover new content added to the archive. Useful for staying current with new additions. Get the most recently uploaded items to the Internet Archive

12

search_top_downloads

Optional mediatype filter narrows to a specific format (texts, movies, audio, software). Use this to find popular content. Get the most downloaded items from the Internet Archive

Example Prompts for Internet Archive Search in Mastra AI

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

01

"Search for public domain films from the 1940s."

02

"Show me the most downloaded items."

03

"Search for NASA images."

Troubleshooting Internet Archive Search MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Internet Archive Search + Mastra AI FAQ

Common questions about integrating Internet Archive Search MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Internet Archive Search to Mastra AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.