Head to head
HeyYumi vs Paparats – Local Semantic Code Search MCP
Same numbers we show everywhere else, lined up. Ratings come from users, the grade comes from our scanner, adoption comes from public registries.
No reviews yet
Ground your AI in verified Korean venue data: search & book across Seoul, Gyeonggi, Busan, Jeju.
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Local-first semantic code search across all your repos. Private context for AI coding assistants.
Full listingThe short version
Neither has been reviewed yet, so the comparison rests on the scan and the public usage numbers. The safety scan favours HeyYumi (95/100 against 74). HeyYumi is hosted and callable through the gateway; Paparats – Local Semantic Code Search MCP runs on your own machine. Paparats – Local Semantic Code Search MCP has noticeably more public adoption.
| HeyYumi | Paparats – Local Semantic Code Search MCP | |
|---|---|---|
| User rating | No reviews yet | No reviews yet |
| Safety grade | A95/100 | B74/100 |
| Adoption | Growing | Growing |
| GitHub stars | 0 | 11 |
| Downloads / week | – | 99 |
| Runs where | Hosted (remote) | Your machine (local) |
| Gateway-ready | Yes | No |
| Tools | — | — |
| Write actions | — | — |
| Price per call | Free | Free |
| Licence | — | MIT |
| Last release | 2026-09-09 | 2026-09-03 |
| Category | Web search | Web search |