Excel MCP Server - Manipulate Excel files without Microsoft Excel. Model Context Protocol server for reading, writing XLSX XLSM files with Claude AI
Excel Master MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Excel MCP Server - Manipulate Excel files without Microsoft Excel. Model Context Protocol server for reading, writing XLSX XLSM files with Claude AI LLM integration.
A Model Context Protocol (MCP) server that lets you manipulate Excel files without needing Microsoft Excel installed. Create, read, write, and analyze Excel workbooks (.xlsx, .xlsm) with AI assistants like Claude. Complete Excel automation through LLM integration.
Once Excel Master is connected, these are the calls the assistant has available:
Installation — The easiest way to use Excel MCP Server is with npx (no installation required):Configuration — Add to your MCP client configuration (e.g., Claude Desktop):The server ships on npm as @guillehr2/excel-mcp-server, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
Plenty of AI and media services servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Excel Master's toolset — Installation, Configuration — is a fair guide to whether it matches your workflow. It is maintained by guillehr2; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Installation | The easiest way to use Excel MCP Server is with npx (no installation required): |
| Configuration | Add to your MCP client configuration (e.g., Claude Desktop): |
{
"mcpServers": {
"excel-master": {
"command": "npx",
"args": [
"-y",
"@guillehr2/excel-mcp-server@latest"
]
}
}
}Configuration as documented by the project. Restart the client after saving.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.