"Internet Archive" matching MCP servers:

Enables coding agents to retrieve exact RFC section text, status and obsoleted-by chains, errata, and IANA registry values such as HTTP status codes, media types, and port numbers.

Discover, archive, catalog, and verify OpenCode sessions with remote upload support.

Enables AI coding assistants to access the internet through VPN exit nodes to bypass geo-restrictions and avoid rate limits. It allows users to route HTTP requests through various global regions and manage VPN connections directly within MCP-compatible clients.

Provides a searchable knowledge base over the Entra.news archive, enabling natural language queries for Microsoft Entra announcements, features, and community tools. Users can perform hybrid semantic searches, retrieve specific newsletter issues, and discover mentioned GitHub projects or PowerShell tools.

An MCP server that drives the full App Store release cycle for iOS and macOS apps: version bump, archive + TestFlight upload, metadata, review submission, and status.

Provides real-time visibility into Claude Pro and Max subscription usage limits directly within Claude Code by utilizing local OAuth tokens. It enables users to monitor session and weekly usage across different models and receive alerts regarding rate-limiting status.

Enables coding agents to build, test, archive, and run iOS apps on a remote Mac fleet from any environment, with XcodeBuildMCP-compatible tools and live simulator access.

A Model Context Protocol (MCP) server for validating Mermaid diagram syntax and providing comprehensive grammar checking capabilities

Intelligent context manager for AI coding assistants that uses a three-level memory system (core, active, archive) to remember project context across conversations.

Enables interaction with Google's NotebookLM through natural language to create and manage notebooks, add sources from URLs/YouTube/Drive, perform AI-powered research and analysis, and generate audio overviews, videos, infographics, and slide decks from research content.

Analyzes and optimizes Icecast streaming server configurations with automated security audits, performance recommendations, and capacity planning for internet radio stations.

Enables accessing and extracting files from remote zip archives over HTTP, HTTPS, and FTP without downloading the entire archive. Supports listing files, extracting individual files, and getting file information using partial reading techniques.

A Python-based MCP server that provides read and write access to Bear Notes on macOS using SQLite for data retrieval and x-callback-url for modifications. It enables users to search, create, archive, and manage notes and tags directly through a Model Context Protocol interface.

Utility-first MCP server that extends Claude Code with file-maintenance capabilities beyond built-in tools. Supports encoding repair, format conversion, duplicate detection, batch renaming, and archive utilities.

Lets an AI assistant inspect a running Google Chrome or Microsoft Edge browser over the Chrome DevTools Protocol, reading console output, network traffic, DOM snapshots, errors, performance metrics, storage, and screenshots. It also supports live event subscriptions, screen-frame streaming, and one-shot export of everything into an offline-readable archive such as HAR, CSV, and a self-contained HTML report.

Enables web search capabilities through the Tavily API, allowing users to search the internet for information using natural language queries. Serves as a demonstration and educational project for building MCP servers with external API integrations.

A CLI tool that runs a Model Context Protocol server over stdio, enabling interaction with specification documents like business requirements, product requirements, and user stories for the Specif-ai platform.

A production-ready MCP server providing comprehensive DevOps capabilities for the Internet Computer blockchain, enabling AI agents to authenticate, manage canisters, handle finances, and build/deploy projects.

Enables AI agents to deploy HTML pages and manage them (list, archive, move, rename) in a versioned library via MCP tools.

Enables AI agents to securely interact with local files, live internet search, databases, and development tools through the Model Context Protocol, turning them into autonomous production-ready assistants.