"KLM" matching MCP servers:

Provides persistent browser tabs with tools to read, click, type, and interact with web pages, enabling local LLM agents to perform multi-step web tasks.

An MCP-native pipeline for collecting structured intelligence on higher education institutions using the WHED schema, enabling scraping, extraction, validation, and saving of profiles.

Enables scraping and comparison of LLM inference pricing from multiple providers like Cloudrift, DeepInfra, Fireworks, and Groq, storing results in a SQLite database.

Enables AI assistants to search and compare Korean PC parts prices from Danawa and Compuzone, build assembly estimates with automatic compatibility checks, and track price history.

Enables AI assistants to crawl websites, extract dynamic content, navigate links, and save structured Markdown files via the MCP protocol, with support for anti-bot bypass, CSS selectors, and custom JavaScript execution.

Enables scraping and comparing pricing information for LLM inference services across multiple providers (CloudRift, DeepInfra, Fireworks, Groq) using Firecrawl API and SQLite storage.

Provides web search and page fetch tools for LLM assistants, extracting content and enabling text search within fetched pages.

Enables AI models like Claude to easily access and utilize subtitle data from YouTube videos by extracting transcripts from video URLs with support for multiple languages.

A lightweight MCP server that enables LLMs to search the web via DuckDuckGo, search GitHub code repositories, and extract clean content from web pages in LLM-friendly formats.