code-review-graph vs n8n-MCP
Side-by-side comparison of two AI agent tools
Short answer
- code-review-graph is growing faster: +220 GitHub stars in the last 30 days vs +30 for n8n-MCP.
- Pick code-review-graph for: local code knowledge graph serving compact review context to AI coding tools over MCP. Pick n8n-MCP for: a MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you.
From GitHub data refreshed daily.
c
code-review-graphopen-source
Local code knowledge graph serving compact review context to AI coding tools over MCP
n
n8n-MCPopen-source
A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you
Metrics
| code-review-graph | n8n-MCP | |
|---|---|---|
| Stars | 31.9k | 23.0k |
| Star velocity /mo | 220 | 30 |
| Commits (90d) | 665 | 137 |
| Releases (6m) | 10 | 10 |
| Downloads (30d, npm + PyPI) | 297.0K | 424.8K |
| Overall score | 0.7208179595910345 | 0.6117161512649488 |
FAQ
- Which is more popular, code-review-graph or n8n-MCP?
- code-review-graph has more GitHub stars (31,898 vs 23,032).
- Which is more actively developed, code-review-graph or n8n-MCP?
- code-review-graph had more commits in the last 90 days (665 vs 137).
- Should I use code-review-graph 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.