mcp-excel-server: The Excel MCP Server is a powerful tool that enables natural language interaction with Excel files through

by yzfly · MCP Server · ★ 95

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 75/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

claudeclaude-mcpdataexcelmcpmcp-excel-server

Quick Facts

Stars95
Forks20
LanguagePython
CategoryMCP Server
Quality Score75/100
Last Updated2026-07-02
Created2025-04-04
Platformsclaude-code, mcp, python
Est. Tokens~6k

About mcp-excel-server

Excel MCP Server An MCP server that provides comprehensive Excel file management and data analysis capabilities. Features Excel File Operations Read multiple Excel formats (XLSX, XLS, CSV, TSV, JSON) Write and update Excel files Get file information and sheet names Data Analysis Summary statistics and descriptive analysis Data quality assessment Pivot tables Filtering and querying data...

Compatible Skills

These tools work well together with mcp-excel-server for enhanced workflows:

  • exstruct — semantic(0.62)+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • document-SKILLs — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
  • sv-excel-agent — semantic(0.52)+same_lang+similar_pop+shared_platform (48%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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