Internet Archive Metadata MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Internet Archive Metadata through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
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-metadata": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Internet Archive Metadata Agent",
instructions:
"You help users interact with Internet Archive Metadata " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Internet Archive Metadata?"
);
console.log(result.text);
}
main();
* 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 Metadata MCP Server
Connect Internet Archive Metadata to any AI agent and retrieve comprehensive details about any archived item — including file listings, user reviews, collection memberships, access statistics, and modification history.
Mastra's agent abstraction provides a clean separation between LLM logic and Internet Archive Metadata tool infrastructure. Connect 10 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
- Complete Metadata — Title, creator, date, description, subjects, license, language
- File Listings — All downloadable files with formats (PDF, EPUB, MP4, MP3) and sizes
- User Reviews — Community ratings and review text
- Collection Info — Which collections the item belongs to
- View Statistics — Download and view counts
- Modification History — Track changes made to items over time
- Parent Collections — Hierarchical categorization structure
- Derivative Files — Auto-generated thumbnails, streaming files, OCR text
- Lightweight Lookup — Metadata-only mode for fast queries
- Server Info — Storage location and hosting details
The Internet Archive Metadata MCP Server exposes 10 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 Metadata to Mastra AI via MCP
Follow these steps to integrate the Internet Archive Metadata MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Internet Archive Metadata via MCP
Why Use Mastra AI with the Internet Archive Metadata MCP Server
Mastra AI provides unique advantages when paired with Internet Archive Metadata through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Internet Archive Metadata without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Internet Archive Metadata tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Internet Archive Metadata + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Internet Archive Metadata MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Internet Archive Metadata, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Internet Archive Metadata as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Internet Archive Metadata on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Internet Archive Metadata tools alongside other MCP servers
Internet Archive Metadata MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Internet Archive Metadata to Mastra AI via MCP:
get_collections
Items can belong to multiple collections (e.g., "prelinger", "opensource_movies"). Use this to understand the categorization of an item. Get collections an item belongs to
get_derivatives
). These are derived from the original uploads. Use this to see what processed formats are available. Get auto-generated derivative files for an item
get_files
Files can be downloaded from: https://archive.org/download/{identifier}/{filename}. Use this to see what formats are available. Get all downloadable files for an Internet Archive item
get_history
Use this to track changes to an item over time. Get modification history of an Internet Archive item
get_metadata
Returns title, creator, date, description, subjects, collection, files, reviews, and stats. The identifier is found in item URLs (e.g., from archive.org/details/big_buck_bunny, identifier is "big_buck_bunny"). Use this for comprehensive item information. Get complete metadata for an Internet Archive item
get_metadata_only
Lighter response for quick lookups. Use this when you only need basic item information. Get only the metadata fields without files or reviews
get_parents
Use this to understand the broader categorization structure. Get parent collections of an Internet Archive item
get_reviews
Returns reviewer names, star ratings, and review text. Not all items have reviews. Use this to see community feedback. Get user reviews for an Internet Archive item
get_server_info
Useful for understanding where files are hosted. Use this for technical diagnostics. Get server and storage information for an item
get_stats
Shows how popular the item is. Use this to measure item popularity. Get access statistics for an Internet Archive item
Example Prompts for Internet Archive Metadata in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Internet Archive Metadata immediately.
"Get metadata for item big_buck_bunny."
"List all files for item gutenberg_etext1."
"Get reviews for item nasa_apollo11."
Troubleshooting Internet Archive Metadata MCP Server with Mastra AI
Common issues when connecting Internet Archive Metadata to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpInternet Archive Metadata + Mastra AI FAQ
Common questions about integrating Internet Archive Metadata MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Internet Archive Metadata with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Internet Archive Metadata to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.