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 haris-musa · MCP Server · ★ 4.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is excel-mcp-server safe to install? View the security audit →
Featured in: Spreadsheet & Excel AI Tools
A Model Context Protocol (MCP) server that lets you manipulate Excel files without needing Microsoft Excel installed. Create, read, and modify Excel workbooks with your AI agent. Features 📊 Excel Operations: Create, read, update workbooks and worksheets 📈 Data Manipulation: Formulas, formatting, charts, pivot tables, and Excel tables 🔍 Data Validation: Built-in validation for ranges, formulas, and data integrity 🎨 Formatting: Font styling, colors, borders, alignment, and conditional formatting 📋 Table Operations: Create and manage Excel tables with custom styling 📊 Chart Creation: Generate various chart types (line,
| Stars | 4,193 |
| Forks | 466 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 73.9982820021895/100 |
| Open Issues | 74 |
| Last Updated | 2026-04-12 |
| Created | 2025-02-12 |
| Platforms | mcp, python |
| Est. Tokens | ~10k |
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excel-mcp-server is A Model Context Protocol server for Excel file manipulation. It is categorized as a MCP Server with 4.2k GitHub stars.
excel-mcp-server is primarily written in Python. It covers topics such as ai, automation, excel.
You can find installation instructions and usage details in the excel-mcp-server GitHub repository at github.com/haris-musa/excel-mcp-server. The project has 4.2k stars and 466 forks, indicating an active community.
excel-mcp-server is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to excel-mcp-server on Agent Skills Hub include mcpm.sh, flow-like, trigger.dev. 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: