Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
Description from the maker (original English)
Deterministic Google Docs API compiler. Your agent stops silently corrupting documents.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
GOOGLE_APPLICATION_CREDENTIALSYou need
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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 arezzoFill in the empty values before running it.
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.
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.
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Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account ConvergentMethods, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: GOOGLE_APPLICATION_CREDENTIALS
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).
The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 7 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
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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
Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
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.
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.
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.
{
"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 indexOperation 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
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.
pip install arezzo
arezzo init
arezzo init walks through Google OAuth setup and writes platform config files for your MCP client.
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:
credentials.json to ~/.config/arezzo/For Claude Desktop, arezzo init prints the config block to add manually.
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" } } }
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:
len() — surrogate pairs count differently)Arezzo handles this deterministically. The same input always produces the same output. No reasoning, no guessing, no "usually works."
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).
MIT — Convergent Methods, LLC