MCP server and desktop app for editing Excel - faster, and more efficient
Let AI edit the Excel files you already have: faster, for fewer tokens, and you get them back intact.
GridPath is an engine for editing real .xlsx files. Give it to your coding agent and the same edit takes a fraction of the time and tokens, because the agent calls spreadsheet tools instead of writing and debugging scripts:
- Faster and cheaper. An in-process calculation engine and purpose-built tools (workbook map, row search, structural edits) replace the write-a-script, run-it, recalculate-somewhere-else loop. - Intact. A surgical saver rewrites only the parts an edit touched; charts, pivots, VBA, add-in data and everything else come back byte-identical. - Reviewed. You see every changed cell, before and after, and nothing is written until you accept.
Claude Code (Sonnet 5.5) on a real 1.4 MB, 55,000-formula analyst model, same prompt with and without GridPath:
Task With GridPath Without --------- Insert a row (median of 5 runs) 17 s · 1.0k output tokens · $0.35 52 s · 6.1k · $0.86 Change 12 inputs and report the recalculated result (1 run) 29 s · 2.2k output tokens · $0.49 161 s · 17.1k · $1.62
Both lanes got every edit right. The difference is time, tokens, and seeing the diff before it's saved. Full runs, including the ones we lose, are in the evals repo.
It comes as two front doors on the same engine:
MCP server — npx gridpath mcp Desktop app --------- The agent Yours: Claude Code, Cursor, Codex, any MCP host GridPath's own, in the app You review In a local browser tab the agent links you to In the app's diff panel Install One line, Node only Download for Mac
From the project README.
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