Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
Terminal output, project snapshots and semantic diffs as LLM-ready context
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": {
"codigest": {
"command": "uvx",
"args": [
"codigest",
"mcp"
]
}
}
}在终端中运行这条命令
claude mcp add codigest -- uvx codigest mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"codigest": {
"command": "uvx",
"args": [
"codigest",
"mcp"
]
}
}
}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": {
"codigest": {
"type": "stdio",
"command": "uvx",
"args": [
"codigest",
"mcp"
]
}
}
}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 NaNIsaac 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(0.13.0)于9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:Context7, Codebase Memory, Exa
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
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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。
Share the code context you choose with an AI: your project, a few files, what changed, or the command that failed.
Documentation: [nanisaac.github.io/codigest](https://nanisaac.github.io/codigest/) (installation, guides, command reference). 한국어
Automated release-specific security scan (A–F), not an independent security certification. How ratings work .
Suppose a test fails and you want a coding assistant to help. Pasting the error alone may omit the function under test; pasting the whole repository buries the problem in unrelated files.
Codigest lets you choose what context to send. From the terminal, it can collect selected files, their local imports, recent changes, or a failed command and the files mentioned in its output. It packages the selection as text for you to inspect and paste into ChatGPT, Claude, or another tool. It does not choose a fix or call a model on its own.
pack gives the reason for each file and names the ones it left out..env files and known key patterns and attempts to mask tokens in code or output. Review a bundle before sharing it; automated filtering cannot guarantee that every sensitive value is caught.Codigest does not call any AI model; it only prepares what you send to one. Everything runs on your machine.
One of the workflows below: a test fails, and one command collects what the model needs.
Prebuilt binary, no Python needed. Windows (cmd or PowerShell):
powershell -ExecutionPolicy Bypass -c "irm -useb https://raw.githubusercontent.com/NaNIsaac/codigest/main/install.ps1 | iex"
Linux, macOS and Termux:
curl -fsSL https://raw.githubusercontent.com/NaNIsaac/codigest/main/install.sh | sh
This installs cdg to %LOCALAPPDATA%\Programs\codigest (added to your user PATH) on Windows, ~/.local/bin on Linux and macOS, and $PREFIX/bin in Termux. Run the same line again to update. CDG_VERSION=0.12.1 pins a version and CDG_INSTALL_DIR=... picks the folder (then PATH is left alone). Supported: Windows x64, Linux x64 and ARM64, macOS Intel and Apple Silicon, Android ARM64 (Termux; the tests also run inside Termux in CI). Archives for download by hand are on the releases page. No setup is needed in your projects. Both scripts check the archive against the SHA-256 GitHub records for it. On Linux and macOS, install.sh will not replace a cdg from the Python package in the same folder unless CDG_FORCE=1 is set.
The same commands are on PyPI as codigest. Install it with uv, which also fetches the Python version it needs (3.15) and keeps it apart from your projects:
winget install --id astral-sh.uv # Windows (skip if you have uv)
curl -LsSf https://astral.sh/uv/install.sh | sh # macOS/Linux
uv tool install codigest uv tool update-shell # then restart your terminal
The command is codigest, or cdg for short. Both installs provide a command called cdg, so keep only one of them on PATH. If the install fails with a syntax error on lazy import, run uv self update and try again.
Next, cdg term install hooks your shell so the output of every command is kept for cdg pack and cdg term. It is off until you run it; see Terminal capture.
On Windows, PowerShell's help codigest is a separate command from codigest --help. For optional native Get-Help integration without automatic command capture:
cdg shell-help install # register comment-based PowerShell help
help codigest # or: Get-Help codigest cdg shell-help uninstall # remove it when no longer needed
This adds a small forwarding function to your PowerShell profile; other help commands are unchanged. The CLI's own full command reference is still available via cdg --help.
In a terminal, every command below copies its result to the clipboard. Add -s to also print it, -o FILE to also write it to a file, --no-copy to leave the clipboard alone, and -m "..." to put your question or instruction in it. When the output goes to a pipe or a file instead (cdg scan > ctx.xml, cdg digest | less, a script, a coding agent's shell), it is printed and the clipboard is left alone; add --copy to copy it anyway. Over SSH the copy goes to the clipboard of the machine you type on (OSC 52), not the remote one; see output options.
Run scan in your project and paste:
cdg scan
$ cdg scan
Copied snapshot to clipboard Snapshot 3 files, ~121 tokens
The clipboard now holds the file tree and every file, honoring .gitignore:
<project_snapshot project="project">
├── .gitignore ├── prices.py └── test_prices.py
.venv/ pycache/ .pytest_cache/
def apply_discount(price, percent): return price * (1 - percent)
from prices import apply_discount
def test_ten_percent(): assert apply_discount(200, 10) == 180
Large projects ask before copying (above 30k tokens or 100 files). For those, share less, as in the next section.
cdg scan src/app.py -r # one file and the local files it imports, recursively
cdg scan src/billing/ docs/ # folders, files, or both cdg scan src/app.py -l # with line numbers, so answers can say "line 42" cdg scan src/app.py:40-80 # only lines 40 to 80, numbered (src/app.py:42 for one line) cdg digest # signatures and docstrings only, much smaller cdg digest src/billing/ # the same for one folder cdg tree -L 2 # the file tree, two levels deep
The examples from here on are the same project a little later: prices.py has grown a Cart class, and an old MATLAB version sits in legacy/.
digest is the overview to start a conversation with. It lists every function, class and top-level variable of Python files, and the functions and %% sections of MATLAB files, in the order they appear, with the line they start on and the first line of their docstring (or, in MATLAB, of their help comment). Class attributes and dataclass fields are listed with their values, shortened when long:
$ cdg digest -s
├── .gitignore ├── legacy │ └── discount.m ├── prices.py └── test_prices.py
1: function p = discount(price, percent) Price after taking off percent percent. 3: %% Apply
1: TAX_RATE = 0.1 4: def apply_discount(price: float, percent: float) -> float Price after taking off percent percent. 9: class Cart Items and the discount that applies to all of them. 12: def init(self, percent: float=0) 16: def total(self) -> float Sum after discount and tax.
4: def test_ten_percent()
Digest 3 files, ~192 tokens
A model that has seen this can ask for exactly what it needs ("show me Cart.total"), and cdg scan prices.py:16-19 gives it just that method, numbered the same way:
$ cdg scan prices.py:16-19 -s
└── prices.py
16: def total(self) -> float: 17: """Sum after discount and tax.""" 18: subtotal = sum(apply_discount(p, self.percent) for p in self.items) 19: return subtotal * (1 + TAX_RATE)
tree -L keeps a large or vendored folder from flooding the output:
$ cdg tree -L 1
├── .gitignore ├── legacy/ (1 file) ├── prices.py └── test_prices.py
To share what changed while you work, set a baseline first:
cdg mark # e.g. before a refactor
cdg diff # text diff since the mark cdg semdiff # Python: which functions and classes changed
A baseline is a private copy kept in .codigest/; your Git history is not touched.
Run the command through cdg cap. The output looks exactly as it would without it; Codigest keeps a copy. Then ask for a pack:
cdg cap -- pytest -q # or npm test, cargo test, go test ./..., make
cdg pack
$ cdg pack
Packed ~370 / 30,000 tokens failed pytest -q (exit 1, just now) changes uncommitted changes (git)
Copied pack to clipboard
Read it as: the failing command, your uncommitted Git changes, test_prices.py because the error points at its line 5, and prices.py because you edited it.
What exactly was copied
<context_pack project="project">
F [100%] ================================= FAILURES ================================== _____________________________ test_ten_percent ______________________________
def test_ten_percent():
assert apply_discount(200, 10) == 180
E assert -1800 == 180 E + where -1800 = apply_discount(200, 10)
test_prices.py:5: AssertionError ========================== short test summary info ========================== FAILED test_prices.py::test_ten_percent - assert -1800 == 180 1 failed in 0.11s
diff --git a/prices.py b/prices.py index 3d691df..428752a 100644 --- a/prices.py +++ b/prices.py @@ -1,2 +1,2 @@ def apply_discount(price, percent):
1: from prices import ap
只显示了开头部分;其余内容请在仓库中阅读