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)
Codebase intelligence for AI coding agents — graph, git history, docs, decisions, code health.
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": {
"repowise": {
"command": "uvx",
"args": [
"repowise",
"mcp",
"--transport",
"stdio"
]
}
}
}在终端中运行这条命令
claude mcp add repowise -- uvx repowise mcp --transport stdio粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"repowise": {
"command": "uvx",
"args": [
"repowise",
"mcp",
"--transport",
"stdio"
]
}
}
}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": {
"repowise": {
"type": "stdio",
"command": "uvx",
"args": [
"repowise",
"mcp",
"--transport",
"stdio"
]
}
}
}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
注册名称已通过域名 repowise.dev 验证(注册中心会核实域名所有权)
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(0.60.1)于4天前进入注册中心。
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。
English | 简体中文
Stop paying your agent to re-read your codebase.
Repowise indexes your code, git history, tests and decisions once, on your machine.
Your coding agent asks the index instead of grepping and opening files, so it does about half the work.
You get the same answers in a dashboard: what calls this, what breaks, what to fix first, and why.
Half the tool calls your agent opens 3 files where it opened 7 · 31.6% less output Up to 99% less noise from test runs, installs and git output · every error line kept 88% of the right files found in one call · next best tool: 61%
Graph, risk, health, tests and dead code make zero LLM calls · no API key to index · 28 languages · Claude Code, Codex, Cursor and any MCP host · free and open source
Quickstart · For your agent · What it does · Hosted · Benchmarks · Teams · Docs
Open Claude Code, Codex, Cursor or any MCP-capable agent in your repository and paste:
Read https://docs.repowise.dev/setup.md and set up Repowise in this repository.
The agent installs Repowise, indexes the repo with no API key, connects itself to the index, and asks you before anything costs money. To do it by hand:
uv tool install repowise # or: pipx install repowise / pip install repowise
cd /path/to/your/repo repowise init --yes --no-prose # graph, git, health, dead code, docs. No key, no spend.
repowise serve # dashboard + MCP server (needs Node 20+; first run downloads the UI)
serve opens the dashboard in your browser. After a first index it starts with a short guided tour, and Setup is where you connect agents, turn on sync and add coverage or a model.
Restart Claude Code or run /mcp, then ask *"What breaks if I change src/auth.py?"* or *"Use Repowise get_overview to summarize this repository."* init wires Claude Code for this repo and adds the global repowise MCP entry when there is none; it never moves one that serves another repo. Full setup for every agent →
Without an index, an agent rediscovers your codebase on every task: grep, open a file, open three more, grep again. Repowise answers those questions ahead of time, so the agent asks once and gets on with the work.
In a measured run on django/django, an agent with Repowise made 3.8 tool calls instead of 7.2, opened 3.0 files instead of 7.2 and wrote 31.6% less, with answers just as good. That is the largest saving of the five context tools we tested. On a small local model the output cut reaches 47.9%. How it was measured →
repowise distill trims test, install and git output before the agent reads it and keeps every error line. Distill →CLAUDE.md and AGENTS.md current from the index.repowise saved and the dashboard's Usage and savings page count the tokens your agent no longer has to read.One index of your code, its history and its decisions, used three ways: to understand the code, to change it safely, and to keep improving it.
See how it fits together A call graph across 28 languages, an architecture map you can explore, C4 views, and a generated wiki for every module and file.
The graph · Docs
Know what breaks Every caller of what you changed, the files that usually change with it but are missing from your diff, and the tests that reach it.
Change risk · Tests
Fix what matters A 1 to 10 health score for every file, validated against real bug history, a ranked fix-first queue, refactoring plans and dead code.
Code health · Refactoring
Follow it across repos Services and the HTTP, gRPC and event contracts between them, with a guard for breaking changes and the consumer files they affect.
Workspaces
Ask it anything Cited answers and charts from the dashboard, or the same answers through MCP for your agent.
Dashboard · MCP tools
Remember why Decisions mined from ADRs, comments, commits, PRs and agent sessions, each tied to the code it governs, plus docs checked against the code.
Decisions · Doc drift
Every question it answers
| You ask | Repowise gives you |
|---|---|
| *How does checkout work in this repo?* | A cited answer built from the call graph and the generated docs, in one call. Search and answers |
| *What calls this function, and what does it call?* | A call graph across 28 parsed languages, every edge stamped with how it was resolved and how far to trust it, plus traced execution flows from each entry point. The graph |
| *Can I get docs for this codebase?* | A wiki for every module and file, rendered from the code's structure with no key, or written by a model when you choose. It updates incrementally after each commit. Docs |
| *Which of our docs are wrong?* | Markdown checked against the tree: every reference to a file or symbol the code no longer has, with the line to edit. Doc drift |
| *Why is it built this way?* | Decisions mined from ADRs, # WHY: comments, commit and PR history and your agent sessions, each tied to the code it governs and flagged when it goes stale. Decisions |
| *Who knows this code?* | Owners, bus factor, fading ownership when the main author goes quiet, and suggested reviewers. Ownership |
| *Can I see the architecture?* | An explorable dependency map, C4 views, and a Structurizr export, no model involved. Dashboard |
| You ask | Repowise gives you |
|---|---|
| *What breaks if I change this?* | Symbol-level blast radius: the callers of what you changed, the files that historically change with it but are missing from your diff, and the tests that reach it. Change risk |
| *How risky is this PR?* | Where the change ranks against your repository's own recent commits, with the reasons, as a directive your agent can act on. Change risk |
| *Which tests should run?* | The tests a diff actually exercises, from a coverage report if you have one and from the call graph if you do not. Test intelligence |
| *Did this PR add untested lines?* | Patch coverage, branch coverage on changed lines and path-scoped gates in CI, on GitHub, GitLab or any runner. CI gates |
| *Will this API change break another r
只显示了开头部分;其余内容请在仓库中阅读