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 sbroenne · MCP Server · ★ 683
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-server-excel safe to install? View the security audit →
Featured in: Spreadsheet & Excel AI Tools
ExcelMcp - MCP Server for Microsoft Excel Automate Excel with AI — A Model Context Protocol (MCP) server for comprehensive Excel aut
| Stars | 683 |
| Forks | 79 |
| Language | C# |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.6126276237247/100 |
| Open Issues | 12 |
| Last Updated | 2026-09-12 |
| Created | 2025-10-19 |
| Platforms | claude-code, cli, dotnet, mcp |
| Est. Tokens | ~20k |
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mcp-server-excel is Automate real Microsoft Excel with AI via MCP Server or CLI — Power Query, DAX, VBA, PivotTables, charts, and 326 operations.. It is categorized as a MCP Server with 683 GitHub stars.
mcp-server-excel is primarily written in C#. It covers topics such as ai-automation, claude-ai, com-automation.
You can find installation instructions and usage details in the mcp-server-excel GitHub repository at github.com/sbroenne/mcp-server-excel. The project has 683 stars and 79 forks, indicating an active community.
mcp-server-excel is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mcp-server-excel on Agent Skills Hub include arxiv-mcp-server, mcphub.nvim, mcp-client-for-ollama. 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: