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Excel MCP Server: MCP server, setup and security

Excel MCP Server is an open-source MCP server published on GitHub that lets an AI agent create Excel workbooks and manage data, formatting, charts, and formulas. Its repository has 4,259 stars and its last commit is from October 21, 2026 and it is licensed under MIT.

Actively maintainedTop 10% by stars

What Excel MCP Server does

According to its repository: “Excel workbook creation, data operations, formatting, charts, pivot tables and formulas.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Excel MCP Server is listed under Developer tools, a category of 475 servers in the directory, where it ranks #19 by stars.

Topics declared by the repository: excel, toolcalling, automation, stdio, streamable-http, charts.

Installing and connecting Excel MCP Server

Distribution modes declared in the official MCP registry:

  • PyPI package (Python, started with uvx or pip)

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Python.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Excel MCP Server. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on February 12, 2025, the haris-musa/excel-mcp-server repository has 4,259 stars and 477 forks, with 0 open issues. It has more stars than 97% of the servers in the directory. It received changes this month. Version published in the registry: 2.2.2 (October 21, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

StorybookStorybook : 91.4K91.4KFront End ChecklistFront End Checklist : 74.6K74.6KTldrawTldraw : 51.1K51.1KCodebase MemoryCodebase Memory : 47.4K47.4KCCXTCCXT : 44.5K44.5KPostHog MCP ServerPostHog MCP Server : 40.4K40.4KClaude task masterClaude task master : 28.3K28.3KAgent Skills Search ServerAgent Skills Search Server : 26.6K26.6KExcel MCP ServerExcel MCP Server : 4.3K4.3K
GitHub stars of the most followed servers in the category (log scale); Excel MCP Server in orange. Checked October 25, 2026.

Verdict

Excel MCP Server is one of the most solid servers in its category: followed, maintained and well framed.

Strengths

  • Active project: recent commit
  • Widely followed: 4.3K stars
  • Listed in the official MCP registry
  • Permissive licence (MIT)

Frequently asked questions

How do I install Excel MCP Server?

Excel MCP Server is distributed as PyPI package (Python, started with uvx or pip). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of haris-musa/excel-mcp-server.

Is Excel MCP Server free?

The code is published under the MIT licence and can be used free of charge.

Is Excel MCP Server safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by haris-musa on GitHub. Check who maintains it before giving it access.

What are the alternatives to Excel MCP Server?

In the same category: Radar Kubernetes MCP Server, Repowise, Jscpd, and Apify MCP server.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score