MCP Servers

Provides AI systems with access to documentation from llms.txt files by fetching and parsing content from specified URLs, enabling seamless documentation lookup during coding sessions.

Integrates with Gmail to enable email management tasks like sending, reading, searching, and labeling through natural language commands.

Automates short-form video creation by combining text-to-speech, captions, background videos, and music for platforms like TikTok, Instagram Reels, and YouTube Shorts.

Integrates Jupyter notebooks with MCP to enable code execution, content manipulation, and interactive data exploration within notebook environments.

Enables web browsing capabilities through tools for content extraction, link following, and browser automation with customizable parameters for scraping, data collection, and web crawling tasks.

Access shell and filesystem in order to automate tasks and run code

Manage Docker containers, bridged by the Docker SDK for Python.

Implements structured step-by-step reasoning to break down and methodically analyze complex problems.

Database-backed project memory management system that stores decisions, progress tracking, and system patterns in a queryable knowledge graph with vector embeddings for semantic search and comprehensive import/export functionality.

Enables persistent memory and structured knowledge management for enhanced personalization and context retention in natural language interactions through a local graph database.

Enables macOS screen capture and window management with tools for taking screenshots, analyzing images, and controlling application windows

Provides a bridge between MongoDB databases and conversational interfaces, enabling comprehensive database operations, collection management, schema inspection, and Atlas cloud service interactions with authentication and telemetry support.