Integrate Internet Archive Metadata with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiGet collections on Internet Archive Metadata
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 on Internet Archive Metadata
). 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 on Internet Archive Metadata
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 on Internet Archive Metadata
Use this to track changes to an item over time. Get modification history of an Internet Archive item
Get metadata on Internet Archive 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 on Internet Archive Metadata
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 on Internet Archive Metadata
Use this to understand the broader categorization structure. Get parent collections of an Internet Archive item
Get reviews on Internet Archive Metadata
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 on Internet Archive Metadata
Useful for understanding where files are hosted. Use this for technical diagnostics. Get server and storage information for an item
Get stats on Internet Archive Metadata
Shows how popular the item is. Use this to measure item popularity. Get access statistics for an Internet Archive item
Security & Code Integrity Audit
Every tool in the Internet Archive Metadata MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
How do I get the identifier for an item?
The identifier is the unique string in the item's URL. For example, from https://archive.org/details/big_buck_bunny, the identifier is "big_buck_bunny". You can also get identifiers from search results using the ia-search-mcp server.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
What can AI Agents do with Internet Archive Metadata?
Enable conversational interfaces like ChatGPT and Claude to execute programmatic commands against the Internet Archive Metadata infrastructure.
Autonomous digital archiving Strategies
The Internet Archive Metadata integration exposes LLM-friendly schemas for digital archiving. Tools like Cursor can map natural language directly into executable knowledge management commands.
LLM Orchestration for metadata extraction
The Internet Archive Metadata toolkit enables AI agents to execute metadata extraction commands. It handles protocol translation for knowledge management integrations natively.
Internet Archive Metadata. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
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