haris-musa/excel-mcp-server
by Various
A Model Context Protocol server for Excel file manipulation
MCP
haris-musa/excel-mcp-server
Added 1 June 2026
Overview
A Python-based server that implements the Model Context Protocol (MCP) for programmatic Excel file manipulation. It enables AI agents and MCP-compatible clients to read, write, and modify Excel spreadsheets through a standardized interface.
Best for
Best for
Developers building AI agents that need reliable, protocol-based read/write access to Excel files.
Use cases
- Reading data from Excel files into an AI agent's context
- Writing structured data from LLM outputs into spreadsheet cells
- Automating repetitive Excel tasks like formatting or formula insertion
How to use
Install
uvx excel-mcp-server stdioTested with
Cursor
Example client config
{\n "mcpServers": {\n "excel": {\n "command": "uvx",\n "args": ["excel-mcp-server", "stdio"]\n }\n }\n}Notes
A Python-based server that implements the Model Context Protocol (MCP) for programmatic Excel file manipulation. It enables AI agents and MCP-compatible clients to read, write, and modify Excel spreadsheets through a standardized interface.
3,889 stars on GitHub. Last updated 2026-04-12. Licensed MIT.
Use cases
- Reading data from Excel files into an AI agent’s context
- Writing structured data from LLM outputs into spreadsheet cells
- Automating repetitive Excel tasks like formatting or formula insertion
Pros
- Open-source with a large community following (3,889 stars)
- Clean Python codebase that is easy to extend or audit
- Standard MCP interface makes it pluggable into multiple AI assistants
Cons
- Requires a MCP-compatible client or host to be useful
- Python runtime and dependencies must be installed on the target system
- Limited to operations exposed by the MCP protocol; not a full Excel automation suite
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Open-source with a large community following (3,889 stars)
- Clean Python codebase that is easy to extend or audit
- Standard MCP interface makes it pluggable into multiple AI assistants
Cons
- Requires a MCP-compatible client or host to be useful
- Python runtime and dependencies must be installed on the target system
- Limited to operations exposed by the MCP protocol; not a full Excel automation suite
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