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 writerslogic · MCP Server · ★ 51
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is scrivener-mcp safe to install? View the security audit →
Scrivener MCP Connect your Scrivener projects to Claude, ChatGPT, and other AI assistants Install · What You Can Do · All Tools · Guides · Contributing Scrivener MCP lets your AI assistant open, read, edit, analyz
| Stars | 51 |
| Forks | 16 |
| Language | TypeScript |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 70.352176079773/100 |
| Open Issues | 12 |
| Last Updated | 2026-09-07 |
| Created | 2025-09-03 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~17k |
These tools work well together with scrivener-mcp for enhanced workflows:
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scrivener-mcp is The definitive MCP server for Scrivener — connect your novels, screenplays, and manuscripts to Claude, ChatGPT, and any AI assistant. 53 tools: document management, writing analysis, content enhanceme. It is categorized as a MCP Server with 51 GitHub stars.
scrivener-mcp is primarily written in TypeScript. It covers topics such as ai-writing, chatgpt, claude.
You can find installation instructions and usage details in the scrivener-mcp GitHub repository at github.com/writerslogic/scrivener-mcp. The project has 51 stars and 16 forks, indicating an active community.
scrivener-mcp is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to scrivener-mcp on Agent Skills Hub include notion-mcp-server, toolhive-studio, google-analytics-mcp. 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: