Agent Spreadsheet MCP

Name: Agent Spreadsheet MCP
Author: PSU3D0

by PSU3D0version 0.16.0i★ –iRuns on your computer

Registry nameio.github.PSU3D0/agent-spreadsheet

Install

Overview

Description from the maker (original English)

Agent-safe Excel workbook analysis, editing, recalc, and verification tools.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Docs, sheets & office work

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

DockerDocker installed

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "agent-spreadsheet": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/psu3d0/agent-spreadsheet:0.16.0-full",
        "--workspace-root",
        "/data",
        "--transport",
        "stdio"
      ]
    }
  }
}

Run this in your terminal

claude mcp add agent-spreadsheet -- docker run -i --rm ghcr.io/psu3d0/agent-spreadsheet:0.16.0-full --workspace-root /data --transport stdio

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agent-spreadsheet": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/psu3d0/agent-spreadsheet:0.16.0-full",
        "--workspace-root",
        "/data",
        "--transport",
        "stdio"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agent-spreadsheet": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/psu3d0/agent-spreadsheet:0.16.0-full",
        "--workspace-root",
        "/data",
        "--transport",
        "stdio"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account PSU3D0, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Docs, sheets & office worki

More stars than 0% of the other 2181 servers in this category
Published to the registry more recently than 35% of the other 2181 servers in this category
Basic checks equal to or better than 100% of the other 2181 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Agent Spreadsheet MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.16.0) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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by BuilderIO

Agent-Native Google Calendar - manage events, sync, and public booking

Runs in the cloud★ 7,620MITUpdated 2 months ago

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Excel MCP Server

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Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.

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by sbroenne

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

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Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

agent-spreadsheet

agent-spreadsheet is the tool interaction service for agent-based spreadsheet usage.

It gives agents a safe, inspectable, token-efficient way to read, analyze, mutate, verify, and operationalize Excel workbooks without falling back to brittle UI automation.

If you want an agent to work with spreadsheets like a real system instead of a screenshot puppet, this is the stack.

What this project is

agent-spreadsheet ships a unified spreadsheet interaction layer across three surfaces:

Surface	Binary / Package	Mode	Best for
CLI	`agent-spreadsheet` / `asp`	Stateless files + resident sessions	One-shot pipelines or retained multi-turn workbook editing
MCP server	`agent-spreadsheet-mcp`	Stateful	Multi-turn agent sessions, workbook caching, fork/recalc workflows
TypeScript SDK	`agent-spreadsheet-sdk`	Library	App integrations — drives the server's canonical `/v1` route, or runs fully in-process via the embedded WASM engine (no server required)

The WASM build (agent-spreadsheet-wasm) is the SDK's local runtime, not a separate product surface: JS and TypeScript code targets one object model and the execution substrate (server vs embedded engine) is a configuration choice.

In 0.16 these surfaces share the resident Rust document/evaluator runtime and 32-operation registry. Explicit native sessions automatically start a private journal-backed host. SDK/WASM and genuine just-bash sessions retain their history in memory; XLSX export saves a document snapshot, not a restartable session journal. Warm edit/recalculate/read loops avoid XLSX serialization and repeated evaluator ingestion. See runtime guarantees and limits and the SDK/just-bash examples.

Supported workbook modes:

.xlsx / .xlsm — read + write
.xls / .xlsb — discovery/read-oriented workflows only

Powered by Formualizer

Default in-process calculation uses [Formualizer](https://github.com/PSU3D0/formualizer) — a permissively licensed (MIT/Apache-2.0) spreadsheet engine written in Rust: formula parsing, dependency-graph recalculation, 400+ Excel functions, dynamic arrays, and deterministic evaluation built for agents. No Excel COM or headless LibreOffice is required. Optional LibreOffice integration remains available, but Formualizer is the release-critical backend.

That native engine is why this project can offer what most spreadsheet tooling for agents cannot: recalculate the actual workbook, trace which cells changed and why, and prove it — not just read cached values or push blind edits.

Embedding spreadsheet logic in your own product rather than driving workbooks as an agent? Use Formualizer directly (Rust, Python, JS/WASM).

Why agents use agent-spreadsheet

Built for tool use, not just humans

deterministic JSON contracts
schema and example discovery from the CLI itself
explicit pagination and compact output modes
machine-readable warnings and error envelopes

Safe mutation, not blind mutation

dry-run first workflows
stateless output modes and overwrite safety
event-sourced session editing
verification surfaces for proving downstream outcomes
structural impact analysis before risky workbook changes

Spreadsheet-aware, not generic file editing

region detection
table and footer-aware append helpers
template row / row band cloning
formula-specific replace and diagnostics
named range CRUD
recalculation + diff + proof flows

Good agent ergonomics

nested command groups with legacy alias compatibility
token-efficient reads
exact-cell inspection and layout inspection
workflow helpers for the repetitive parts agents usually get wrong

What is new / what makes this stack different

The current surface is much stronger than a plain “read some cells” tool. Major capabilities now include:

`asp` as the primary CLI with agent-spreadsheet preserved as a compatibility alias
grouped verification via asp verify proof and asp verify diff
preview-first workflow helpers for:
write append
write clone-template-row
write clone-row-band
formula-safe batch workflows with parse-policy diagnostics
cell/layout/export/import inspection surfaces
named range management (write name define|update|delete)
formula-only replacement (write formulas replace)
event-sourced session editing with log, branch, undo/redo, fork, apply, and materialize
SheetPort manifest lifecycle + execution for contract-driven spreadsheet automation

Install

Shell installer

curl -fsSL https://raw.githubusercontent.com/PSU3D0/agent-spreadsheet/main/install.sh | sh

The installer downloads a prebuilt CLI to ~/.local/bin and creates the asp command. Pin a release with ASP_VERSION=0.16.0, set ASP_INSTALL_DIR to choose another destination, or pass --mcp to install the MCP server too:

curl -fsSL https://raw.githubusercontent.com/PSU3D0/agent-spreadsheet/main/install.sh | sh -s -- --mcp

npm

npm i -g agent-spreadsheet

This installs both asp (the primary command) and agent-spreadsheet (the compatibility alias) from a prebuilt native binary. No Rust toolchain is required.

cargo-binstall

cargo binstall agent-spreadsheet

This installs the prebuilt CLI in seconds.

Cargo

cargo install agent-spreadsheet --features recalc --bin asp --bin agent-spreadsheet

This builds the CLI from source. Formualizer (the native Rust recalc engine) is included by default.

mise

mise use -g "ubi:PSU3D0/agent-spreadsheet[exe=asp]"

Homebrew

brew install psu3d0/tap/agent-spreadsheet

MCP server

cargo install agent-spreadsheet-mcp

Docker

# Read-only / slim

docker pull ghcr.io/psu3d0/agent-spreadsheet-mcp:latest

Write + recalc + screenshots

docker pull ghcr.io/psu3d0/agent-spreadsheet-mcp:latest-full

JavaScript SDK

npm i agent-spreadsheet-sdk

Prebuilt binaries

Download raw binaries and archives from GitHub Releases.

Published native assets include:

Linux x86_64
Linux arm64
macOS x86_64
macOS arm64
Windows native binaries are not shipped for 0.16; native release validation targets Linux and macOS

Start here: the core workflows

1) Orient the workbook before reading cells

# What sheets are here?

asp read sheets data.xlsx

What regions/tables/parameter blocks does this sheet contain?

asp read overview data.xlsx "Model"

What named items are available?

asp read names data.xlsx

Read a structured region as a table

asp read table data.xlsx --sheet "Model"

2) Inspect exactly what an agent needs

# Raw values for exact ranges

asp read values data.xlsx Model A1:C20

Detail-view for targeted cells (value / formula / cached / style triage)

asp read cells data.xlsx Model B2 D10:F12

Layout-aware rendering for a bounded range

asp read layout data.xlsx Model --range A1:H30 --render both

Export a bounded range to csv or grid json

asp read export data.xlsx Model A1:H30 --format csv --output model.csv

3) Do a safe stateless edit → recalc → proof → diff loop

asp workbook copy data.xlsx /tmp/draft.xlsx

asp write cells /tmp/draft.xlsx Inputs "B2=500" "C2==B2*1.1" asp workbook recalculate /tmp/draft.xlsx asp verify proof data.xlsx /tmp/draft.xlsx --targets Summary!B2,Summary!B3 --named-ranges asp verify diff data.xlsx /tmp/draft.xlsx --details --limit 50

A representative label-mode lookup:

asp analyze find-value data.xlsx "Net Income" --mode label --label-direction below

4) Preview structural risk before mutating the workbook

asp analyze ref-impact data.xlsx --ops @structure_ops.json --show-formula-delta

This is intentionally read-only. It surfaces shifted spans, absolute-reference warnings, token counts, and optional before/after formula samples.

5) Use workflow helpers instead of reinventing row logic

# Stateless batch writes

asp write batch transform data.xlsx --ops @ops.json --dry-run asp write batch style data.xlsx --ops @style_ops.json --dry-run

Append rows into a detected region or table, respecting footer rows when present

asp write append data.xlsx --sheet Revenue --table-name RevenueTable --from-csv rows.csv --header --dry-run

Clone one template row with preview-first planning

asp write clone-template-row data.xlsx --sheet Inputs --source-row 8 --after 8 --count 3 --dry-run

Clone a contiguous row band repeatedly

asp write clone-row-band data.xlsx --sheet Forecast --source-rows 12:16 --after 16 --repeat 4 --dry-run

6) Use a stateful session when the edit story gets complex

asp session start --base data.xlsx --workspace .

asp session op --session --ops @edit.json --workspace . asp session apply --session --workspace . asp session materialize --session --output result.xlsx --workspace .

And when you need proper history and branching:

asp session log --session <id> --workspace .

asp session fork --session scenario-a --workspace . asp session undo --session --workspace . asp session redo --session --workspace . asp session checkout --session --workspace .

7) Turn workbook interfaces into contracts with SheetPort

# Discover candidate ports from workbook structure

asp sheetport manifest candidates model.xlsx

Validate or normalize a manifest

asp sheetport manifest validate manifest.yaml asp sheetport manifest normalize manifest.yaml

Bind-check a workbook against a manifest

asp sheetport bind-check model.xlsx manifest.yaml

Execute the manifest with JSON inputs

asp sheetport run model.xlsx manifest.yaml --inputs @inputs.json

CLI overview

The primary CLI is `asp`.

agent-spreadsheet remains available as a compatibility alias, so both of these are valid:

asp read sheets data.xlsx

agent-spreadsheet read sheets data.xlsx

Preferred command groups

asp read ...
asp analyze ...
asp write ...
asp workbook ...
asp verify ...
asp session ...
asp sheetport ...

Legacy aliases

Legacy flat commands are still normalized to the new nested surface where practical. That makes migration easier for older prompts, docs, and automation.

Discoverability built into the CLI

When an agent is unsure of payload shape, it can ask the tool directly:

asp operations                  # CLI-supported runtime subset

asp registry --all # complete host-independent registry + schemas asp schema read_cells asp example read_cells asp schema write batch transform asp example write batch transform asp schema session op transform.write_matrix asp example session op transform.write_matrix

Canonical machine calls use the same registry and dispatcher as other surfaces. asp schema and asp example project the native adapter contract: resource_id and, for verification, baseline_resource_id are omitted from required JSON becau

Only the beginning is shown; read the rest in the repo

Agent Spreadsheet MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Docs, sheets & office worki

Common questions

Alternatives

Agent-Native Calendar

Excel MCP Server

MCP Server for Excel

README from the maker

agent-spreadsheet

What this project is

Powered by Formualizer

Why agents use agent-spreadsheet

Built for tool use, not just humans

Safe mutation, not blind mutation

Spreadsheet-aware, not generic file editing

Good agent ergonomics

What is new / what makes this stack different

Install

Shell installer

npm

cargo-binstall

Cargo

mise

Homebrew

MCP server

Docker

Write + recalc + screenshots

JavaScript SDK

Prebuilt binaries

Start here: the core workflows

1) Orient the workbook before reading cells

What regions/tables/parameter blocks does this sheet contain?

What named items are available?

Read a structured region as a table

2) Inspect exactly what an agent needs

Detail-view for targeted cells (value / formula / cached / style triage)

Layout-aware rendering for a bounded range

Export a bounded range to csv or grid json

3) Do a safe stateless edit → recalc → proof → diff loop

4) Preview structural risk before mutating the workbook

5) Use workflow helpers instead of reinventing row logic

Append rows into a detected region or table, respecting footer rows when present

Clone one template row with preview-first planning

Clone a contiguous row band repeatedly

6) Use a stateful session when the edit story gets complex

7) Turn workbook interfaces into contracts with SheetPort

Validate or normalize a manifest

Bind-check a workbook against a manifest

Execute the manifest with JSON inputs

CLI overview

Preferred command groups

Legacy aliases

Discoverability built into the CLI