No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by sandbox-quantum · MCP Server · ★ 643
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is switch safe to install? View the security audit →
Bring humans and AI agents together in the tools where your team already works <img src="assets/switch-overview.jpg" alt="Switch on the left, holding a channel's messages and knowledge, its workflows and org design, its permissions and guardrails, its analytics, and
| Stars | 643 |
| Forks | 51 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 64.3790734664508/100 |
| Open Issues | 62 |
| Last Updated | 2026-09-19 |
| Created | 2026-07-16 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
These tools work well together with switch for enhanced workflows:
Looking for a switch alternative? If you're comparing switch with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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Explore other popular mcp server tools:
switch is Connect any AI agent to your team in Slack, Teams & Discord. Open-source and self-hostable.. It is categorized as a MCP Server with 643 GitHub stars.
switch is primarily written in Python. It covers topics such as agent-orchestration, ai, ai-agents.
You can find installation instructions and usage details in the switch GitHub repository at github.com/sandbox-quantum/switch. The project has 643 stars and 51 forks, indicating an active community.
The top alternatives to switch on Agent Skills Hub include sre, c4-genai-suite, oreilly-ai-agents. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: