Using Tinq AI with Cursor via MCP to Generate Data-Driven Reports
Connecting our Tinq AI workspace to Cursor through MCP turned a three-hour quarterly reporting process into a five-minute task. Here's how we use context-aware AI to assemble data-driven reports with visualizations and strategic insights.
How Model Context Protocols Connect AI to Real Work
Model Context Protocols let AI connect directly to your tools, making your knowledge instantly accessible. At Tinq.ai, we’ve built MCP so you can search across your workspace once and use that knowledge everywhere, from ChatGPT to Claude to Cursor.
How to Structure Information for AI Ingestion
This practical guide from tinq.ai covers best practices for creating AI-friendly documentation that improves insight retrieval while maintaining human readability.
How to Write Effective System Prompts for AI
A well-crafted system prompt ensures AI models generate accurate, relevant, and structured responses. This guide breaks down key techniques to refine your prompts for better AI performance.