"Naver" matching MCP servers:

An MCP server that enables searching various content types (news, blogs, shopping, images, etc.) through Naver's search API.

Enables natural language management of Naver Cloud Platform infrastructure, covering over 60 services and 1,000+ API tools.

An MCP server for the IndexNow protocol that lets AI agents instantly submit URLs to Bing, Yandex, Seznam and Naver for fast indexing.

Enables read-only analysis of FST waveform files, including signal value queries, timing measurements, event search, latency analysis, and PNG plot generation using human-readable time addressing.

Real-time Claude.ai subscription awareness for AI coding assistants. Surfaces live utilization, forecasts limits, gates expensive operations, and measures real per-task cost.

MCP plugin that alerts you when AI token usage is wasteful. Fires warnings, errors, and alerts on large outputs, verbose logs, and repetitive history, auto-suppressing noise to keep your context lean.

An MCP server that enables users to save, search, and manage AI conversation records as organized Markdown files across various IDEs. It automatically categorizes sessions by IDE name, date, and description for efficient storage and easy retrieval.

An MCP server that enables AI coding tools to save, list, and read code snippets as files in the local filesystem.

An MCP server that gives AI agents Angular template awareness via compiler-backed tools, providing component contracts, diagnostics, and version-specific facts while saving tokens by returning concise JSON instead of entire source files.

Routes narrow text-processing tools (classification, extraction, summarization, etc.) to budget models to reduce token consumption on the main model.

A Model Context Protocol (MCP) server that provides comprehensive documentation and usage examples for the AutoFixture testing library.

Enables conversational management of Naver Cloud Platform infrastructure through Claude Desktop, allowing users to create, query, and manage cloud resources like servers, VPCs, load balancers, and databases using natural language.

Automatically reduces token usage in Claude Code sessions using algorithmic optimizations like code compression, smart file reading, output summarization, and prompt rewriting, with no extra API calls or cost.

Exposes a set of CLI tools (test generation, documentation generation, linting, test running, code search) to AI assistants via MCP, allowing them to perform these tasks through natural language.

P2P dev-machine MCP for phone-driven coding agents: hot reload, builds, deploys.

Bridges VSCode's Language Server Protocol with MCP to give AI assistants instant access to code intelligence, delivering 100-1000x faster responses with 90% fewer tokens than traditional text-based searching. Provides 17 production-ready tools for navigation, refactoring, diagnostics, and code analysis.