MCPollinations

Enables data analysis and visualization by integrating with pandas, scikit-learn, matplotlib, and seaborn libraries for dataset exploration, statistical analysis, and chart generation

Integrates with Crawlab to enable AI-driven web scraping, task automation, and data extraction workflows through spider management, file operations, and resource access tools.

When tools like Cursor can’t debug your code or understand your architecture, Cleanup Crew steps in. Trigger a help request directly from your IDE via MCP — we auto-collect context (files, chat history, errors, etc.) and route it to an expert developer via Discord - One-command help via any MCP-enabled IDE - Full context preserved – no need to re-explain your code - Free first session (no card required) - Hands-on or advisory support depending on your plan

Integrates with MySQL databases to enable read-only schema inspection and query execution, ensuring data integrity and security for analytical applications.

Integrates with MySQL databases using Python and Docker to enable structured data storage, querying, and manipulation.

Integrates with the Docling library to provide document processing capabilities, including conversion to markdown, table extraction, and image handling with OCR support, enabling efficient analysis of structured and unstructured data from various document formats.