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 Microck · MCP Server · ★ 60
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is discord.py-self-mcp safe to install? View the security audit →
discord-py-self-mcp comprehensive discord selfbot mcp server for full user autonomy. quick start this is a local mcp server (stdio transport). your mcp client spawns it as a process, and you provide secrets (like ) via the client's / config. manual run: important: automating user accounts is against the Discord ToS. use this at your own risk. overview discord-py-self-mcp acts as a bridge between your ai assis
| Stars | 60 |
| Forks | 13 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.3288427251352/100 |
| Last Updated | 2026-09-07 |
| Created | 2026-01-04 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~16k |
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discord.py-self-mcp is comprehensive Discord selfbot MCP server using discord.py-self. It is categorized as a MCP Server with 60 GitHub stars.
discord.py-self-mcp is primarily written in Python. It covers topics such as ai, automation, claude.
You can find installation instructions and usage details in the discord.py-self-mcp GitHub repository at github.com/Microck/discord.py-self-mcp. The project has 60 stars and 13 forks, indicating an active community.
discord.py-self-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to discord.py-self-mcp on Agent Skills Hub include discord-mcp, claude-emporium, sudocode. 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: