DBX vs n8n-MCP
Side-by-side comparison of two AI agent tools
Short answer
- DBX is growing faster: +11,295 GitHub stars in the last 30 days vs +90 for n8n-MCP.
- Pick DBX for: 25 MB cross-platform client for 100+ databases with a built-in AI assistant and MCP Server. Pick n8n-MCP for: a MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you.
From GitHub data refreshed daily.
D
DBXopen-source
25 MB cross-platform client for 100+ databases with a built-in AI assistant and MCP Server
n
n8n-MCPopen-source
A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you
Metrics
| DBX | n8n-MCP | |
|---|---|---|
| Stars | 23.8k | 23.0k |
| Star velocity /mo | 11.3k | 90 |
| Commits (90d) | 4.8k | 137 |
| Releases (6m) | 10 | 10 |
| Overall score | 0.950750801484004 | 0.6747572029755905 |
FAQ
- Which is more popular, DBX or n8n-MCP?
- DBX has more GitHub stars (23,828 vs 23,035).
- Which is more actively developed, DBX or n8n-MCP?
- DBX had more commits in the last 90 days (4,812 vs 137).
- Should I use DBX or n8n-MCP?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.