
Arezzo
io.github.ConvergentMethods由 GitHub 账号 ConvergentMethods 发布v0.1.1更新于 Oct 27, 2026
Deterministic Google Docs API compiler. Your agent stops silently corrupting documents.
概览
本地 MCP 服务器,通过语义化操作读取和编辑 Google 文档,并编译为正确的 batchUpdate 请求。
- 可以做什么
- 读取文档结构:标题层级、命名范围、表格与分节边界
- 编辑文档:插入、删除或替换文本,设置格式、链接与标题
- 插入表格及行列、列表、图片、页眉页脚、脚注与命名范围
- 试运行操作,在执行前查看编译出的请求
- 适用场景
- 适合需要可靠修改 Google 文档的场景,尤其是多步编辑,手工计算索引容易损坏文档。README 建议编辑前先读取文档,结构性改动后再次读取。
- 运行要求
- 以 Python 包形式通过 pip 本地安装,再用初始化命令写入 MCP 客户端配置文件。需要一个已启用 Google Docs API 的 Google Cloud 项目,以及 OAuth 2.0 桌面应用类型的客户端凭据文件,通过 GOOGLE_APPLICATION_CREDENTIALS 环境变量指定;首次需在浏览器完成一次 OAuth 授权。
安装
在 SourceWeft 中
- 打开 控制台中的 Arezzo,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
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
来源:README.md,提交 8a458d7
工具
0版本历史
1- v0.1.1最新Sep 16, 2026
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