DataHawk MCP works with any AI assistant that supports the Model Context Protocol — from chat tools to code editors to automation platforms. This page shows you how to connect your client of choice.

💡 Not sure which to pick? Most users start with Claude or ChatGPT — they're the fastest to set up (under 2 minutes) and best for ad-hoc questions. Move to a code editor if you're building apps, or n8n / Make if you're scheduling automations.

Whichever client you pick, work through the prerequisites first.

Before you start (Prerequisites)

Setup your DataHawk workspace for MCP

Chat with your data (LLMs)

Use DataHawk MCP in Claude

Use DataHawk MCP in ChatGPT

Build with your data (code editors & AI App builders)

Use DataHawk MCP in Cursor / Windsurf

Use DataHawk MCP in Lovable

Use DataHawk MCP in Replit

Automate with your data (workflows & schedules)

Use DataHawk MCP in n8n

Use DataHawk MCP in Make

Once you're connected

• What is DataHawk MCP — overview and sample questions you can ask
• Ready-to-use prompts — full templates for weekly reports, deep-dives, and trackers
• How to write effective MCP prompts — how to write prompts that return what you expect
• Going further with the MCP — performance and fallback guidance