switch: Open-source AI teammates in Slack, Teams, Discord, Telegram and Mattermost

by sandbox-quantum · MCP Server · ★ 3.9k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install switch

claude mcp add switch-docs --transport http https://docs.flintai.dev/mcp
codex mcp add switch-docs --url https://docs.flintai.dev/mcp

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 63/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-orchestrationaiai-agentschatopsdiscordlangchainmcpmicrosoft-teamsmulti-agentopen-source

Quick Facts

Stars3,854
Forks263
LanguagePython
CategoryMCP Server
Quality Score63/100
Open Issues503
Last Updated2026-11-05
Created2026-07-16
Platformsmcp, python
Est. Tokens~16k

About switch

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

Compatible Skills

These tools work well together with switch for enhanced workflows:

  • open-tag — semantic(0.33)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)
  • clawboo — semantic(0.35)+complementary+same_lang+similar_pop+shared_platform (62%)
  • heypi — semantic(0.31)+complementary+same_lang+similar_pop+shared_platform (61%)
  • OpenACP — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (61%)
  • commonly — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (60%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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