ipybox

Automate web browsers remotely on a cloud environment.

Integrates with the Canvas Learning Management System API to enable course management, assignment tracking, and student engagement analysis in educational settings.

MCP server using FastMCP with modular architecture: mcp_server.py exposes tools interfacing with 3 services - scrapecreators_service.py (Facebook Ad Library API), media_cache_service.py (SQLite caching), & gemini_service.py (AI video analysis). Features intelligent batch processing for multi-brand searches & video analysis (~88% token savings), graceful API rate limiting, secure env config via python-dotenv, & persistent caching to avoid redundant calls.

An MCP tool that connects Google Ads with Claude AI, Cursor and others, allowing you to analyze your advertising data through natural language conversations. This integration gives you access to campaign information, performance metrics, keyword analytics, and ad management—all through simple chat with Claude, Cursor or Windsurf.

Instant access to real-time public & private market intelligence

Jentic MCP empowers developers to discover and integrate external APIs and workflows rapidly—without the need to write or maintain any API-specific code. By leveraging the MCP protocol and Jentic’s agentic runtime, developers can: - Search for APIs and workflows by capability, not by vendor or implementation. - Instantly generate integration code samples that are agnostic to specific API details. - Avoid boilerplate and reduce maintenance by relying on standardized, declarative integration.