GridPath
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@GridPathIn budget.xlsx, update Q3 marketing to 45000 and recalculate totals"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
GridPath
Real Excel files, in your web app and in your agent.
GridPath opens the .xlsx files people already have and calculates every
formula with a Rust engine. AI can edit the files, with a review step. The
saved file is the same one that was opened: charts, pivots, VBA and add-in
data come back byte-identical.
In your web app: | In your coding agent: | Desktop app | |
What it is | A spreadsheet component for your product. It opens your users' | An MCP server: spreadsheet tools for the coding agent you already use. | A desktop editor with its own agent. |
The agent | Yours: your model and key, on your server. | Yours: Claude Code, Cursor, Codex, or any MCP host. | GridPath's own, in the app. |
You review | Highlighted in the grid; accept or reject. | In a local browser tab the agent links you to. | In the app's diff panel. |
Start |
The engine, the in-place saver and the gridpath package (the web spreadsheet and the MCP server) are open source under Apache-2.0. The desktop app is source-available under the FSL-1.1-Apache-2.0 (details).
In your web app
npm install gridpath react react-domimport { Spreadsheet, httpStore } from "gridpath";
const store = httpStore({ url: "/api/books" }); // or leave `store` out to save in the browser
<div style={{ height: 600 }}>
<Spreadsheet
store={store}
documentId={book.id}
onReady={(sheet) => (sheetRef.current = sheet)}
onError={(err) => console.error(err.code, err.message, err.hint)}
/>
</div>;Without any further code, users get:
a formatting toolbar;
saving as they work, with a status that says where: "Saved in this browser" or "Saved to your account";
version history and a Recent list;
Download as
.xlsx;an "AI changes" panel for reviewing an agent's edits.
Your code gets:
a small API:
getCell,setCell,save,open,openStored…, with stated contracts;typed errors, each with a code and a hint you can show;
the agent tools for your own model (
sheet.ai).
When saving to your backend fails, nothing is lost. The edits wait in the browser and the save is retried.
A complete Next.js app, with auth and REST routes
Against the spreadsheet components a web app would otherwise embed (on real models in Chromium, method and results):
Opening. GridPath opens a 1.4 MB analyst model and recalculates it in 0.8 s. SpreadJS takes 3.6 s; Handsontable with HyperFormula and ExcelJS takes 1.9 s.
Saving. GridPath keeps 75 of the file's 76 parts byte-identical. The others drop custom XML, printer settings and more.
Scale. On a model with 2.3M cells, SpreadJS crashes the tab. GridPath opens it and updates the dependents of an edit in 2.7 s.
Related MCP server: Excel MCP Server
In your coding agent (MCP)
claude mcp add gridpath -- npx -y gridpath mcp --review-requiredYour agent edits the real .xlsx through GridPath's tools:
describe, find, read and write;
run_script;structural operations (rows, columns, sheets).
Every change returns a readback and a review link, which shows each changed cell before and after; accept or reject per batch, then save.
Nothing is written until you save.
With
--review-required, only the review page can save.No Python, no LibreOffice, no Excel needed.
Details, host config snippets and the tool list: packages/gridpath/README.md.
The same edit takes a fraction of the time and tokens, because the agent calls spreadsheet tools instead of writing and debugging scripts. Claude Code (Sonnet 5.5) on a real 1.4 MB, 55,000-formula analyst model, with the 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 anything is saved. The full runs, including the ones we lose, are in the evals repo.
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Desktop app
Open a .xlsx, type what you want, review the diff, accept it. Multiple
workbooks side by side, each with its own agent; other files attachable as
read-only references. Your file never leaves your machine, and it works with
the Claude or ChatGPT subscription you already pay for.
What the app does
Multi-workbook — Workbooks side by side, each with its own agent. Attach others as read-only references.
Reversible changes — Diff-first edits. Accept, reject or use ⌘Z. Nothing saves until you say so.
Spreadsheet-native harness — With the same model, GridPath ran 3.9–14× faster in our benchmarks and used 95–96% fewer output tokens on edit tasks.
Workbook fidelity — Surgical saves rewrite only what changed; charts, pivots, formatting, VBA and plugin data stay intact.
Formula-first — Writes formulas, not pasted numbers, so models stay live.
Local-first — Your
.xlsxstays on disk. Only your prompt and the cells the agent needs go to Claude or OpenAI.
How the desktop app compares
GridPath | Excel Copilot | Claude for Excel | ChatGPT upload | CLI coding agent | |
Edits your existing | ✅ | ✅ | ✅ | ❌ | ✅ |
Workbook stays on your machine | ✅ | ❌ | ❌ | ❌ | ✅ |
Preserves charts, pivots, plugin data | ✅ | ✅ | ✅ | ❌ | ❌ |
Accept/reject diff before changes land | ✅ | partial | partial | ❌ | ❌ |
Choose and switch the model | ✅ | ❌ | ❌ | ❌ | ✅ |
Parallel sessions across workbooks | ✅ | ❌ | ❌ | ❌ | partial |
Source available | ✅ | ❌ | ❌ | ❌ | ❌ |
Included with a subscription you have | ✅ | ❌ | ✅ | ✅ | ✅ |
Best-effort comparison as of September 2026. The "preserves" and "diff" rows for coding agents are measured, not inferred — see the benchmark repo. On the August 2026 models a headless coding agent silently dropped parts of a workbook in 2 of 5 edit runs; on Sonnet 5.5 (September 2026) it preserved every part in all of our runs by choosing XML surgery on its own. GridPath preserves them by construction, not by the model's judgment on the day.
Project status
Under active development.
The web package is at 0.4. Not yet supported: drawing charts in the grid (they are kept in the file, but not shown), data-validation dropdowns, real-time collaboration.
For agents, editing existing workbooks is the strongest path, and the one benchmarked continuously. Building large multi-sheet models from scratch works but is still improving. The benchmark repo publishes those results too, including the ones we lose.
License
Open source (Apache-2.0, LICENSE): the calculation engine and
in-place saver (crates/, the IronCalc fork in vendor/ironcalc), the
gridpath package (packages/gridpath, packages/grid: the web
spreadsheet, the agent tools, the MCP server), the examples and the evals.
Use them in anything, commercial or not, including closed-source products.
Source-available (FSL-1.1-Apache-2.0): the desktop app (src/,
src-tauri/) and the hosted services (proxy-server/, the desktop app's
sign-in, and marketing/, the site), each with its own LICENSE file. You can
read, modify and run them for any use except a competing product; each
release becomes Apache-2.0 two years after it ships.
"GridPath" and the logo are trademarks (TRADEMARKS.md).
Releases of the gridpath npm package before 0.2.0 were FSL-1.1-Apache-2.0.
Build from source
Requires Node 20+, Rust stable via rustup, and your platform's Tauri prerequisites.
npm install
npm run tauri devnpm run tauri build produces a local unsigned build. On first launch, connect Claude with OAuth or an API key, or use the ChatGPT sign-in flow. Credentials stay in the local SQLite database.
Architecture
GridPath uses Tauri 2 with a Rust core, React and TypeScript, a vendored IronCalc fork (MIT/Apache-2.0), and SQLite. The surgical .xlsx patcher is in src-tauri/src/engine/workbook/xlsx_patch/, the agent loop in src-tauri/src/engine/spreadsheet_agent/, and the benchmark harness in eval/.
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