review-assist

review-assist

Captures a coding agent's session into an Intent Document, enabling guided and verifiable pull-request reviews on GitHub.

Category
访问服务器

README

<h1 align="center">Review Assist</h1>

<p align="center"> <strong>Review AI-written code as fast as agents write it.</strong><br> Turn a coding agent's session into a guided, verifiable pull-request review. </p>

<p align="center"> <a href="#install">Install</a> · <a href="#how-it-works">How it works</a> · <a href="#architecture">Architecture</a> · <a href="#developing">Developing</a> · <a href="#contributing">Contributing</a> </p>

<p align="center"> <img src="docs/walkthrough.gif" alt="Guided review walkthrough: overview, assumptions, anchored diff stops, verification" width="820"> </p>


AI agents write code faster than anyone can read diffs — and the context that makes review fast (what was asked, what was assumed, what was tried and abandoned, what was tested) is thrown away the moment the PR opens. Review Assist captures it at the source: an agent's session becomes an Intent Document, a validator proves it actually covers the diff, and a GitHub App renders it as a guided review on top of the pull request.

Fully open source, self-hostable, and stores none of your code. Your session transcript never leaves your machine. The app has no database: it reads the document and diff from GitHub per request with the reviewer's own token, keeps them in memory for the length of that request, and serves them private, no-store to a viewer that renders in the reviewer's browser. Nothing is written down, but your code does pass through the service in transit — if that matters to you, self-host it.

Install

Two one-time installs — the MCP server on the developer's side, the GitHub App on the repo's.

1. Register the MCP server with your agent (so it can author Intent Documents).

Claude Code:

claude mcp add -s user review-assist -- npx -y review-assist-mcp

Codex:

codex mcp add review-assist -- npx -y review-assist-mcp

Both write the same entry to the agent's own config — for Codex that's ~/.codex/config.toml, shared with the IDE extension. Check it landed with codex mcp list (or claude mcp list).

If you use the VS Code extension or a GUI-launched editor, register it without npx instead. GUI apps on macOS get only /usr/bin:/bin:/usr/sbin:/sbin, so a Homebrew or nvm npx is not on the path; on Windows npx is a .cmd wrapper that fails without a TTY, and the VS Code panel has none. Either way the server shows as not connected with no error. Invoking node directly avoids both:

npm install -g review-assist-mcp
claude mcp add -s user review-assist -- "$(which node)" "$(npm root -g)/review-assist-mcp/dist/index.js"

Both $(...) expand on your machine, so it is correct for Homebrew, nvm, fnm, Volta and Linux alike. nvm users: re-run it after switching Node versions.

If you would rather not install globally, launching VS Code from a terminal with code . makes it inherit your shell's PATH, and the npx command above then works. That is a habit rather than a setting, though — open the editor from the Dock once and the server quietly stops connecting.

Claude desktop app — one-click, no terminal: download the .mcpb and open it.

2. Install the GitHub App →

One click. Read-only code + PR comments, no workflow files — it adds the automatic check on every PR, the summary comment, and the guided-review viewer.

How it works

<p align="center"> <img src="docs/how-it-works.svg" alt="How it works, in three steps. 1 Code, on your machine: your agent writes the change and an Intent Document that explains it — the ask, the assumptions, a tour of the diff — committed alongside the code; the transcript never leaves the machine. 2 Validate, on GitHub with no code stored: a GitHub App proves the document covers the diff (schema, staleness, cross-refs, redaction), reports coverage such as 5 of 5 changes explained, and posts an Open guided review link on the pull request. 3 Review, in the reviewer's browser: check the assumptions first — flagging one posts it to the PR discussion — then take the anchored tour and approve or request changes; the verdict posts to the pull request as you, and merging stays on GitHub." width="620"> </p>

Architecture

<p align="center"> <a href="docs/architecture.svg"> <img src="docs/architecture.svg" alt="Container-level topology: three systems and two external actors. The developer machine runs the coding agent and the MCP server and writes the Intent Document, with the transcript staying local. GitHub holds the pull request, the committed document, the automation output and the reviewer's comments and verdict. The Review Assist Application receives pull_request events on its webhook, posts the check run, summary and PR-description block as its bot identity, and serves the guided review, reading and writing GitHub as the signed-in reviewer." width="820"> </a> </p>

Three systems and two external actors. Your machine produces the change and its Intent Document; the session transcript never leaves it. GitHub holds the pull request and every durable piece of review state. The application reacts to pull_request events and posts the check as its bot identity, then serves the guided review, reading and writing GitHub as the signed-in reviewer.

The two-agent distillation — author and reviewer as separate role-locked contexts, and the tools each one may reach — is a component-level view, kept in docs/ARCHITECTURE.md along with the full route list.

Developing

Path Component
packages/schema The format — JSON Schema (draft 2020-12) + TypeScript types
packages/validator review-assist CLI + library: the five checks and the Markdown renderer
packages/mcp-server MCP server that drives distillation and gatekeeps submissions
apps/github-app/worker Stateless Cloudflare Worker: OAuth broker + thin GitHub proxy
apps/github-app/viewer Client-side guided-review viewer
SPEC.md The frozen design: the document's six sections and the five checks
npm install
npm run build

# Validate and render the example Intent Document
node packages/validator/dist/cli.js validate packages/schema/src/example.json
node packages/validator/dist/cli.js render packages/schema/src/example.json

# Preview the guided viewer with mock data → http://localhost:8787/#acme/checkout-service/pull/42
node scripts/mockserver.mjs

# Tests
npx vitest run

Architecture and internals: docs/ARCHITECTURE.md.

Contributing

Issues and pull requests are welcome. If the guided review reads wrong on one of your pull requests, open an issue with the Intent Document and the diff that produced it — that pair is usually enough to reproduce. Proposals to change the format itself are worth raising as an issue first, since SPEC.md is deliberately frozen and any change ripples through the validator, the viewer, and every document already committed.

Before opening a pull request, run the checks under Developing; CI runs the same build, typecheck, tests, and example validation.

License

Apache-2.0.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选