GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
作者提供的说明(英文原文)
MCP server that helps AI coding agents interact with AI code reviewers on GitHub PRs
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"codereviewbuddy": {
"command": "uvx",
"args": [
"codereviewbuddy"
]
}
}
}在终端中运行这条命令
claude mcp add codereviewbuddy -- uvx codereviewbuddy粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"codereviewbuddy": {
"command": "uvx",
"args": [
"codereviewbuddy"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"codereviewbuddy": {
"type": "stdio",
"command": "uvx",
"args": [
"codereviewbuddy"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过 GitHub 账户 detailobsessed 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.37.0)于7个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。
同一分类中有:GitHub, Desktop Commander, Cloudflare MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
An MCP server that helps your AI coding agent manage PR review comments from any AI reviewer that uses GitHub's PR review infrastructure.
triage_review_comments filters to only actionable inline threads and includes direct GitHub URLs for each commentget_thread fetches full conversation history for any thread by node IDPRRT_), PR-level reviews (PRR_), and bot issue comments (IC_) all routed to the correct GitHub APIdiagnose_ci collapses 3-5 sequential gh commands into one call: finds the failed run, identifies failed jobs/steps, and extracts actionable error linesstack_activity shows a chronological timeline of pushes, reviews, labels, merges across all PRs in a stack with a settled flag for deciding when to proceedlist_recent_unresolved catches late review comments on already-merged PRsnext_steps suggestions guiding agents to the right follow-up tool callcomment_url so agents can link users directly to the comment on GitHubquery, command, or discovery for MCP clients that support filteringgh CLI, no PAT tokens or .env filesFastMCP v3 gives you terminal testing of the server with no extra code:
# List all tools with their signatures
fastmcp list codereviewbuddy.server:mcp
fastmcp call codereviewbuddy.server:mcp triage_review_comments pr_numbers='[42]'
fastmcp inspect codereviewbuddy.server:mcp
fastmcp dev codereviewbuddy.server:mcp
gh) installed and authenticated (gh auth login)This project uses uv. No install needed — run directly:
uvx codereviewbuddy
Or install permanently:
uv tool install codereviewbuddy
One command configures your MCP client — no manual JSON editing:
uvx codereviewbuddy install claude-desktop
uvx codereviewbuddy install claude-code uvx codereviewbuddy install cursor uvx codereviewbuddy install windsurf uvx codereviewbuddy install windsurf-next
With optional environment variables:
uvx codereviewbuddy install windsurf \
--env CRB_SELF_IMPROVEMENT__ENABLED=true
For any other client, generate the JSON config:
uvx codereviewbuddy install mcp-json # print to stdout
uvx codereviewbuddy install mcp-json --copy # copy to clipboard
Restart your MCP client after installing. See uvx codereviewbuddy install --help for all options.
If you prefer manual setup, add the following to your MCP client's config JSON:
{
"mcpServers": { "codereviewbuddy": { "command": "uvx", "args": ["codereviewbuddy@latest"], "env": { // All CRB_* env vars are optional — zero-config works out of the box. // See Configuration section below for the full list. } } } }
All options enabled:
{
"mcpServers": { "codereviewbuddy": { "command": "uvx", "args": ["codereviewbuddy@latest"], "env": { // GitHub logins considered "ours" for triage filtering (comma-separated) "CRB_OWNER_LOGINS": "alice,bob", // Enable PR description quality checks "CRB_PR_DESCRIPTIONS__ENABLED": "true", // Agents suggest Linear issues when they hit server gaps "CRB_SELF_IMPROVEMENT__ENABLED": "true" } } } }
The server auto-detects your project from MCP roots (sent per-window by your client). This works correctly with multiple windows open on different projects — no env vars needed.
Why `@latest`? Without it,
uvxcaches the first resolved version and never upgrades automatically.
For local development, use uv run --directory to run the server from your checkout instead of the PyPI-published version. Changes to the source take effect immediately — just restart the MCP server in your client.
{
"mcpServers": { "codereviewbuddy": { "command": "uv", "args": ["run", "--directory", "/path/to/codereviewbuddy", "codereviewbuddy"], "env": { // Same CRB_* env vars as above, plus dev-specific settings: "CRB_SELF_IMPROVEMENT__ENABLED": "true" } } } }
If your MCP client reports No module named 'fastmcp.server.tasks.routing', the runtime has an incompatible FastMCP. Fixes:
uvx codereviewbuddy@latest in MCP client config.uv run --directory /path/to/codereviewbuddy codereviewbuddy.uv tool install --reinstall codereviewbuddy.| Tool | Tags | Description |
|---|---|---|
summarize_review_status | query, discovery | Lightweight stack-wide overview — start here |
triage_review_comments | query | Only actionable inline threads needing attention |
get_thread | query | Full thread details by node ID — use after triage for conversation history |
reply_to_comment | command | Reply to inline threads (PRRT_), PR-level reviews (PRR_), or bot comments (IC_) |
diagnose_ci | query | Diagnose CI failures — finds the failed run, jobs, steps, and error lines in one call |
check_ci_status | query | Lightweight CI pass/fail/pending check for a PR — use before merging |
stack_activity | query | Chronological activity feed across a PR stack with a settled flag |
list_recent_unresolved | query | Scan recently merged PRs for unresolved review threads |
review_pr_descriptions | query | Analyze PR descriptions for quality issues (empty body, boilerplate, missing linked issues) |
show_config | discovery | Show active configuration with human-readable explanation |
| Resource | Description |
|---|---|
pr://{owner}/{repo}/{pr_number}/reviews | Read-only review summary for a single PR |
| Prompt | Description |
|---|---|
review_stack | Full review pass workflow — summarize, triage, fix, reply, verify |
pr_review_checklist | Pre-merge quality checklist (review threads, PR hygiene, CI, tests) |
ship_stack | Pre-merge sanity check workflow before merging a PR stack |
codereviewbuddy works zero-config with sensible defaults. All configuration is via CRB_* environment variables in the "env" block of your MCP client config — no config files needed. Nested settings use __ (double underscore) as a delimiter. See the dev setup above for a fully-commented example.
| Env var | Type | Default | Description |
|---|---|---|---|
CRB_PR_DESCRIPTIONS__ENABLED | bool | true | Whether review_pr_descriptions tool is available |
CRB_SELF_IMPROVEMENT__ENABLED | bool | false | Agents suggest Linear issues when they encounter server gaps |
CRB_OWNER_LOGINS | comma-separated | [] | GitHub usernames considered "ours" for triage filtering (e.g. alice,bob) |
1. summarize_review_status() # Stack-wide overview — start here
Each tool response includes next_steps hints guiding the agent to the right follow-up call. For stacked PRs, all query tools auto-discover the stack when pr_numbers is omitted.
git clone https://github.com/detailobsessed/codereviewbuddy.git
cd codereviewbuddy uv sync
poe test # Run tests (excludes slow)
poe test-cov # Run with coverage report poe test-all # Run all tests including slow
poe lint # ruff check
poe typecheck # ty check poe check # lint + typecheck poe prek # run all pre-commit hooks
The server is built on FastMCP v3 with a clean separation:
CRB_* env vars via pydantic-settings)comments.py, stack.py, ci.py, descriptions.py)gh CLI for GraphQL and REST callsnext_steps and message fields for agent guidanceAll blocking gh CLI calls are wrapped with call_sync_fn_in_threadpool to avoid blocking the async event loop.
This project was generated with copier-uv-bleeding. To pull the latest template changes:
copier update --trust .