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 harumiWeb · MCP Server · ★ 187
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is exstruct safe to install? View the security audit →
Excel Structured Extraction Engine En
| Stars | 187 |
| Forks | 27 |
| Language | Python |
| Category | MCP Server |
| License | BSD-3-Clause |
| Quality Score | 68.4244052934479/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-14 |
| Created | 2025-12-04 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~20k |
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exstruct is Conversion from Excel to structured JSON (tables, shapes, charts) for LLM/RAG pipelines, and autonomous Excel reading/writing by AI agents via CLI and MCP integration.. It is categorized as a MCP Server with 187 GitHub stars.
exstruct is primarily written in Python. It covers topics such as data-ex, document-ai, excel.
You can find installation instructions and usage details in the exstruct GitHub repository at github.com/harumiWeb/exstruct. The project has 187 stars and 27 forks, indicating an active community.
exstruct is released under the BSD-3-Clause license, making it free to use and modify according to the license terms.
The top alternatives to exstruct on Agent Skills Hub include pdfmux, mcp-server-excel, haiku.rag. 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: