excel-mcp-server: let AI (Claude, Cursor, Codex) create and edit Excel files with charts, PivotTables, slicers and formulas

by haris-musa · MCP Server · ★ 4.3k

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

How to install excel-mcp-server

uvx excel-mcp-server stdio
uvx excel-mcp-server sse

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 72/100

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. Full audit →

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.

aiautomationchartsclaudecursorexcelformulasllmmcpmcp-server

Quick Facts

Stars4,276
Forks479
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score72/100
Last Updated2026-11-04
Created2025-02-12
Platformsclaude-code, codex, mcp, python
Est. Tokens~14k

About excel-mcp-server

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,...

Compatible Skills

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

  • mcp-proxy — semantic(0.52)+rare_topics+same_lang+similar_pop+shared_platform (62%)
  • mcp-client-for-ollama — semantic(0.30)+rare_topics+same_lang+similar_pop+shared_platform (54%)
  • mcpm.sh — semantic(0.19)+rare_topics+same_lang+similar_pop+shared_platform (46%)

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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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