n8n-MCP vs serena
Side-by-side comparison of two AI agent tools
Short answer
- serena is growing faster: +380 GitHub stars in the last 30 days vs +30 for n8n-MCP.
- Pick n8n-MCP for: a MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you. Pick serena for: a powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE.
From GitHub data refreshed daily.
n
n8n-MCPopen-source
A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you
s
serenaopen-source
A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent
Metrics
| n8n-MCP | serena | |
|---|---|---|
| Stars | 23.0k | 30.0k |
| Star velocity /mo | 30 | 380 |
| Commits (90d) | 137 | 394 |
| Releases (6m) | 10 | 10 |
| Downloads (30d, npm + PyPI) | 424.8K | 145.2K |
| Overall score | 0.6117161512649488 | 0.773024478061336 |
FAQ
- Which is more popular, n8n-MCP or serena?
- serena has more GitHub stars (29,955 vs 23,032).
- Which is more actively developed, n8n-MCP or serena?
- serena had more commits in the last 90 days (394 vs 137).
- Should I use n8n-MCP or serena?
- 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.