head to head · open source
Vibe-Skills vs unifi-mcp
Vibe-Skills has 3,793 GitHub stars, 343 forks, 42 open issues and last shipped yesterday. unifi-mcp has 1,003 stars, 133 forks, 22 open issues and last shipped 2 days ago. Vibe-Skills leads on adoption by 278% (3,793 vs 1,003 stars). Vibe-Skills is written in Python under Apache-2.0; unifi-mcp is written in Python under MIT. Vibe-Skills has attracted 9% as many forks as stars, unifi-mcp 13%. Vibe-Skills was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Vibe-Skills | unifi-mcp | |
|---|---|---|
| GitHub stars | ★ 3.8K | ★ 1.0K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-11-04 | 2026-11-03 |
| Forks | ⑂ 343 | ⑂ 133 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Vibe-Skills if
- You weight community size — 3.8K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick unifi-mcp if
- You want the unifi-mcp feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and unifi-mcp fits your workflow better
About Vibe-Skills
English 中文 Latest release · v4.1.0 Quick start · Measured on SkillsBench Mean verifier reward: +21.12 pp Total tokens: 29.6% · Tool calls: 33.1% SkillsBench is a benchmark designed to evaluate whether AI agents can effectively use Skills to complete professional tasks across diverse domains. Its purpose is to measure how much a model’s ability to solve complex real world tasks improves when it is equipped with specialized Skills. To evaluate performance in production like environments where a large number of Skills are installed simultaneously, we adapted SkillsBench into a more realistic large scale multi Skill…
read the full Vibe-Skills overview →
About unifi-mcp
UniFi MCP Leverage agents and agentic AI workflows to manage your UniFi deployment. Servers Cloud Relay Cloud Relay pairs the Cloudflare hosted Worker gateway with the Relay sidecar on your LAN. The Worker provides the authenticated edge MCP endpoint, Durable Object broker, multi location routing, token boundary, and deployment/management CLI. The Relay sidecar is a local MCP HTTP client and forwarder: it discovers configured local MCP servers over HTTP and maintains an outbound WebSocket to the Worker. Remote requests follow MCP client → Worker gateway → outbound WebSocket → Relay sidecar → local MCP servers…
read the full unifi-mcp overview →
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Frequently asked questions
Is Vibe-Skills or unifi-mcp more popular?
Vibe-Skills has 3,793 GitHub stars and unifi-mcp has 1,003. Vibe-Skills has the larger community by that measure.
Are Vibe-Skills and unifi-mcp free?
Both are open source. Vibe-Skills is licensed under Apache-2.0 and unifi-mcp under MIT. Neither carries a licence fee.
What is the difference between Vibe-Skills and unifi-mcp?
Vibe-Skills is written in Python and unifi-mcp in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Vibe-Skills or unifi-mcp?
Choose Vibe-Skills if you want the larger community (3,793 stars) or its Apache-2.0 licence terms. Choose unifi-mcp if its feature set, stack or MIT licence fits better. Both are self-hostable.