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 cappyeo · MCP Server · ★ 118
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is discord-mcp safe to install? View the security audit →
Discord MCP Connect any MCP-compatible AI to Discord. Do real community work safely. Verify complete guild builds. Caller-owned bot · local by default · 209 typed tools · resumable guild builds with Activity Evidence. Get a verified result · Get started · Browse 209 tools · <a href="https://c
| Stars | 118 |
| Forks | 16 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 71.2492900048481/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-20 |
| Created | 2026-04-28 |
| Platforms | claude-code, codex, mcp, node |
| Est. Tokens | ~19k |
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discord-mcp is Caller-owned Discord operations for AI agents - 208 typed tools, safety controls, resumable guild builds, and Activity Evidence.. It is categorized as a MCP Server with 118 GitHub stars.
discord-mcp is primarily written in TypeScript. It covers topics such as agents, ai-agents, automation.
You can find installation instructions and usage details in the discord-mcp GitHub repository at github.com/cappyeo/discord-mcp. The project has 118 stars and 16 forks, indicating an active community.
discord-mcp is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to discord-mcp on Agent Skills Hub include claude-emporium, notion-mcp-server, deterministic-agent-control-protocol. 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: