Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

Arezzo

by ConvergentMethodsversion 0.1.1i★ –iRuns on your computer
Registry nameio.github.ConvergentMethods/arezzo

Install

Overview

Description from the maker (original English)

Deterministic Google Docs API compiler. Your agent stops silently corrupting documents.

PopNx MCP’s three pillars

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

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
  • You need to fill in: GOOGLE_APPLICATION_CREDENTIALS

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).
  • You fill in yourself: GOOGLE_APPLICATION_CREDENTIALS

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

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": {
    "arezzo": {
      "command": "uvx",
      "args": [
        "arezzo"
      ],
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add arezzo --env GOOGLE_APPLICATION_CREDENTIALS=your-value -- uvx arezzo

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "arezzo": {
      "command": "uvx",
      "args": [
        "arezzo"
      ],
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "your-value"
      }
    }
  }
}

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": {
    "arezzo": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "arezzo"
      ],
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "your-value"
      }
    }
  }
}

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.

Values you fill in

  • GOOGLE_APPLICATION_CREDENTIALS required env
    Path to the Google OAuth2 client credentials JSON (Desktop application type, Docs API enabled). Required — the Google Docs API does not support anonymous access. Run 'arezzo init' to walk through OAu…

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account ConvergentMethods, 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 2174 servers in this category
  • Published to the registry more recently than 8% of the other 2174 servers in this category
  • Basic checks equal to or better than 100% of the other 2174 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 Arezzo 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?

You need to fill in: GOOGLE_APPLICATION_CREDENTIALS

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 (0.1.1) reached the registry 7 months ago.

Which apps can use it?

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

What can I use instead?

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

Alternatives

Servers in the same category from other makers, sorted by stars.

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

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

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

Excel MCP Server

by haris-musa

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

Runs on your computer★ 4,276MITUpdated 6 days ago
Install

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

Runs on your computer★ 847MITUpdated 3 days ago
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.

Arezzo

Deterministic compiler for Google Docs API operations.

You cannot safely modify a Google Doc by constructing batchUpdate requests yourself. The API uses UTF-16 code units with cascading index shifts — insert 10 characters at position 50, and every subsequent index in your batch is now wrong. A single miscalculation silently corrupts the document with no error message.

Arezzo compiles semantic intent into a correct request sequence. Tell it what you want to do; it handles the index arithmetic.

For AI agents (MCP tools)

Arezzo exposes three tools via the Model Context Protocol:

read_document(document_id)

→ Returns the document's structural map: headings with hierarchy, named ranges, tables, section boundaries. Call this before editing so you know what addresses are available.

edit_document(document_id, operations) → Compiles operations into correct batchUpdate requests and executes them. Handles UTF-16 arithmetic, cascading index shifts, and OT-compatible request ordering. Supported operations: insert/delete/ replace text, formatting (bold, italic, headings, links), tables, lists, images, headers/footers, footnotes, named ranges.

validate_operations(document_id, operations) → Compile-only dry run. Returns the compiled requests for inspection without executing. Use before edit_document when uncertain.

Operation format
{

"type": "insert_text", "address": {"heading": "Revenue Analysis"}, "params": {"text": "New paragraph content.\n"} }

Address modes:

  • {"heading": "Section Name"} — by heading text
  • {"named_range": "range_name"} — by named range
  • {"bookmark": "bookmark_id"} — by bookmark ID
  • {"start": true} — document start
  • {"end": true} — document end
  • {"index": 42} — absolute UTF-16 index

Operation types: insert_text, delete_content, replace_all_text, replace_section, update_text_style, update_paragraph_style, insert_bullet_list, insert_table, insert_table_row, insert_table_column, delete_table_row, delete_table_column, insert_image, create_header, create_footer, create_footnote, create_named_range, replace_named_range_content, insert_page_break

Recommended workflow
read_document → edit_document → (if structural changes) read_document → edit_document

Always read before editing. After inserting structural elements (tables, headers, footers), read again to get the new element indices before adding content inside them.

Installation

pip install arezzo

arezzo init

arezzo init walks through Google OAuth setup and writes platform config files for your MCP client.

Setup

Prerequisites: A Google Cloud project with the Google Docs API enabled and an OAuth 2.0 client ID (Desktop application type).

arezzo init

The wizard:

  1. Copies your credentials.json to ~/.config/arezzo/
  2. Runs the OAuth consent flow (browser opens once)
  3. Generates config files for Claude Code, Cursor, and VS Code

For Claude Desktop, arezzo init prints the config block to add manually.

Platform configs

After arezzo init, config files are written to your project directory:

Claude Code / Cursor (.mcp.json):

{

"mcpServers": { "arezzo": { "command": "arezzo" } } }

VS Code (.vscode/mcp.json):

{

"servers": { "arezzo": { "type": "stdio", "command": "arezzo" } } }

Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{

"mcpServers": { "arezzo": { "command": "arezzo" } } }

Why Arezzo exists

The Google Docs batchUpdate API operates on UTF-16 code units with absolute index positions. Every character insertion or deletion shifts all subsequent indices. In a batch with multiple mutations, each request's indices must account for the effect of every prior request in the same batch.

Getting this right requires:

  • UTF-16 length calculation (not Python len() — surrogate pairs count differently)
  • Reverse-order execution for same-type mutations (delete from end to start)
  • Two-phase compilation (content mutations before format mutations)
  • Cascading offset tracking across multi-step operations

Arezzo handles this deterministically. The same input always produces the same output. No reasoning, no guessing, no "usually works."

Architecture

semantic operation

↓ arezzo.parser.parse_document() — build heading/range/bookmark indexes ↓ arezzo.address.resolve_address() — semantic reference → document index ↓ arezzo.operations.* — operation → batchUpdate request(s) ↓ arezzo.index.sort_requests() — OT-compatible mutation ordering ↓ correct batchUpdate request sequence

The engine is a pure function: compile_operations(doc, operations) → requests. Deterministic. No side effects. No API calls.

The MCP server (arezzo.server) wraps the engine with Google Docs API I/O and behavioral guidance fields (next_step, present_to_user, document_reality).

License

MIT — Convergent Methods, LLC

Ask PopNx