"author:pinkpixel-dev" matching MCP servers:

MCP server that turns web pages into clean Markdown, keeping tables, code blocks, and images intact. Agents can fetch pages, save docs to your project or a global library, and crawl whole doc sites.

Generates and edits images using OpenAI GPT Image or Google Gemini models, saving every result to disk and returning local file paths so AI assistants can continue working with the images. It enables prompt-based image creation, editing, inpainting, multi-image composition, and model listing through MCP tools.

A Model Context Protocol server that allows AI agents to play notification sounds when tasks are completed.

A task management server that helps AI assistants break down user requests into manageable tasks and track their completion with user approval steps.

Gives AI agents a local-first, persistent memory backed by a single SQLite file, letting them save decisions, preferences, and facts, then recall them by meaning or keyword across sessions and projects. Exposes tools for loading pinned context, searching, adding, updating, listing, and deleting memories, so agents stop forgetting between sessions.