"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.

Enables discovery and installation of agent skills from curated GitHub repositories, allowing users to search large collections and inspect skill contents directly. It supports downloading skills locally and provides grounded scaffolds for creating new skills based on existing patterns.

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.

Provides LLMs with current date and time information across any timezone, with configurable defaults and support for IANA timezone identifiers.

A Model Context Protocol server that enables AI assistants to generate images, text, and audio through the Pollinations APIs without requiring authentication.

Nectar is a stdio MCP server for Pollinations image and video generation. It gives MCP clients a small, focused toolset for generating images, editing images, generating videos, listing available image/video models, and checking pollen balance.

An MCP server that gives LLMs direct access to OpenRouter's Image API to generate images, edit/transform existing ones, and browse the model catalog.

A flexible memory system for AI applications that supports multiple LLM providers and can be used either as an MCP server or as a direct library integration, enabling autonomous memory management without explicit commands.

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

An MCP server that enables LLMs to generate spoken audio from text using OpenAI's Text-to-Speech API, supporting various voices, models, and audio formats.

Enables privacy-focused web searches using DuckDuckGo and extraction of clean, readable content from web pages with support for parallel processing of multiple URLs.

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.

A Model Context Protocol server that performs comprehensive web research by combining Tavily Search and Crawl APIs to gather extensive information and provide structured JSON output tailored for LLMs to create detailed markdown documents.