Harvester HCI

The fileAI MCP Server offers a robust set of tools to work with the fileAI file processing pipeline. It allows for uploading files, performing Optical Character Recognition (OCR), classifying documents, and extracting structured data. The server leverages the Model Context Protocol (MCP) to provide seamless integration with AI models, enabling them to work with your documents programmatically.

Interact with Google Docs, Sheets, and other Workspace products.

Integrates Google search and webpage content extraction via Chrome browser automation, enabling access up-to-date web information for tasks like fact-checking and research.

Exposes Go documentation and package listing capabilities through 'go doc' and 'go list' commands, enabling efficient querying of official Go documentation and codebase understanding.

werfawefwe

MCP server integrating TomTom's location services into Cursor AI. Provides mapping, routing, geocoding, real-time traffic data, and static maps. Enables building location-aware applications, navigation systems, and geospatial tools directly within Cursor. Features multi-stop route planning, turn-by-turn directions, traffic monitoring, and precise address conversion. Requires Node.js 22+ and TomTom API key.