VOYAGER-Inc/excel-vision-mcp
by Various
MCP server that lets AI agents SEE embedded images inside Excel files — full text + image extraction for .xlsx/.xlsm
MCP
VOYAGER-Inc/excel-vision-mcp
Added 16 Sept 2026
Overview
MCP server that extracts full text and embedded images from Excel files (.xlsx and .xlsm). It exposes the extracted content to AI agents through the Model Context Protocol, allowing agents to see images that would otherwise be invisible in tabular data.
Best for
Best for
Developers building AI agents that need to process images and text from modern Excel workbooks
Use cases
- Extract embedded images and text from Excel workbooks for AI analysis
- Feed Excel spreadsheet content into MCP-compatible agent workflows
- Inspect macro-enabled .xlsm files for visual data alongside cell values
How to use
Install
uvx excel-vision-mcp Tools exposed
list_sheetsread_excel_dataextract_images
Tested with
Claude Desktop, Cursor, Windsurf, VS Code, Antigravity IDE
Example client config
{\n "mcpServers": {\n "excel-reader": {\n "command": "uvx",\n "args": ["excel-vision-mcp"]\n }\n }\n} Notes
MCP server that extracts full text and embedded images from Excel files (.xlsx and .xlsm). It exposes the extracted content to AI agents through the Model Context Protocol, allowing agents to see images that would otherwise be invisible in tabular data.
20 stars on GitHub. Last updated 2026-07-31. Licensed MIT.
Use cases
- Extract embedded images and text from Excel workbooks for AI analysis
- Feed Excel spreadsheet content into MCP-compatible agent workflows
- Inspect macro-enabled .xlsm files for visual data alongside cell values
Pros
- Handles image extraction in addition to text, which is rare for Excel tools
- Written in Python, making it easy to audit and extend
- Open source with a public repository
Cons
- Limited community adoption, reflected in 20 stars
- Only supports .xlsx and .xlsm, not legacy .xls files
- Requires an MCP-compatible client to be useful
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Handles image extraction in addition to text, which is rare for Excel tools
- Written in Python, making it easy to audit and extend
- Open source with a public repository
Cons
- Limited community adoption, reflected in 20 stars
- Only supports .xlsx and .xlsm, not legacy .xls files
- Requires an MCP-compatible client to be useful
Pairs with
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