
Arezzo
io.github.ConvergentMethodsPublished by GitHub account ConvergentMethodsv0.1.1Updated Oct 27, 2026
Deterministic Google Docs API compiler. Your agent stops silently corrupting documents.
Overview
Local MCP server that reads and edits Google Docs through semantic operations, compiling them into correct batchUpdate requests.
- What you can do
- Read a document's structure: headings with hierarchy, named ranges, tables and section boundaries
- Edit documents by inserting, deleting or replacing text, applying formatting, links and headings
- Add tables, rows and columns, lists, images, headers, footers, footnotes and named ranges
- Dry-run operations to inspect the compiled requests before anything is executed
- When to use it
- Useful when an assistant needs to modify Google Docs reliably, especially multi-step edits where manual index arithmetic would corrupt the document. The README recommends reading a document before editing and re-reading after structural changes.
- Requirements
- Runs locally as a Python package installed with pip, then configured via an init command that writes MCP client config files. Needs a Google Cloud project with the Google Docs API enabled and an OAuth 2.0 desktop client credentials file, referenced by the GOOGLE_APPLICATION_CREDENTIALS environment variable; a browser-based OAuth consent step is required once.
Installation
In SourceWeft
- Open Arezzo in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
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:
Operation format
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
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
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).
The wizard:
- Copies your
credentials.jsonto~/.config/arezzo/ - Runs the OAuth consent flow (browser opens once)
- 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):
VS Code (.vscode/mcp.json):
Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
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
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
Source: README.md at commit 8a458d7
Tools
0Version history
1- v0.1.1LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
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- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts