Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Reasoning scaffolding that supercharges your small AI: an argument-mapping MCP server
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": {
"cedrus": {
"command": "uvx",
"args": [
"cedrus-mcp"
]
}
}
}在终端中运行这条命令
claude mcp add cedrus -- uvx cedrus-mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"cedrus": {
"command": "uvx",
"args": [
"cedrus-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": {
"cedrus": {
"type": "stdio",
"command": "uvx",
"args": [
"cedrus-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 cedrus-mcp 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(2.0.1)于2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:Spec Driven Development, Remote Desktop Commander, Whisper
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
One routable IPv6 per AI agent, verifiable from the DNS root. Keyless tools need no signup.
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。
Reasoning scaffolding that supercharges your small AI.
CEDRUS gives a local model an argument map to think in: the model lays out claims and the reasons for and against them, and the map keeps everything in place.
- C1 Legalisation of Soft Drugs
This is the outline. The full view the model reads also has every claim and argument in full, and notes which ones nothing has challenged yet.
CEDRUS is started by uv, which downloads and runs it for you.
# macOS and Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
# Windows
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
Each setup below saves your maps to ~/cedrus-maps, a folder in your home directory. Use any folder you like, or leave out --save-dir and its path if you don't want files.
Whichever app you use, the model has to support tool calling.
In the right sidebar, open the Program tab and choose Install → Edit mcp.json. Add CEDRUS under mcpServers:
{
"mcpServers": { "cedrus": { "command": "uvx", "args": ["cedrus-mcp", "--save-dir", "~/cedrus-maps"] } } }
Go to Settings → MCP Servers, click +, and fill in:
| Field | Value |
|---|---|
| Server Name | cedrus |
| Command | uvx |
| Arguments | cedrus-mcp --save-dir ~/cedrus-maps |
For a local model, turn on tool calling in the model's settings (the edit button under Model Capabilities).
Run goose configure, choose Add Extension → Command-line Extension, name it cedrus, and give the command uvx cedrus-mcp --save-dir ~/cedrus-maps. In Goose Desktop, the same is under Extensions → Add custom extension.
Or add it to ~/.config/goose/config.yaml (%APPDATA%\Block\goose\config\config.yaml on Windows) yourself:
extensions:
cedrus: name: cedrus type: stdio cmd: uvx args: [cedrus-mcp, --save-dir, ~/cedrus-maps] enabled: true timeout: 300
Goose can run local models through Ollama, so this is also the way to use CEDRUS with Ollama.
Any client that can start a local (stdio) MCP server works: the command is uvx, the arguments are cedrus-mcp and any options below.
Map the debate on whether cities should ban cars from their centres. Start with the main
claim, then add the strongest arguments on both sides.
Now add an objection to the weakest pro argument.
Which arguments has nobody challenged yet? Add a reply to one of them.
Whenever you want to see the whole map, ask the model to show it.
With --save-dir DIR, CEDRUS writes the map after every change to DIR/ .txt, the readable view, and DIR/ .json. Each time your app starts CEDRUS, it gets a new , so earlier maps are kept. --save-file PATH writes to one fixed file instead, and a new session overwrites it.
When the model starts a new map, the old one is kept beside the live file as .1, then .2, and so on.
| Tool | What it does |
|---|---|
show | Print the whole map. |
add_claim | Add a claim: the statement being debated, or a principle. |
add_argument | Add an argument for or against something already in the map. |
link | Relate two items already in the map, or change how they relate. |
unlink | Remove one relation. |
edit | Change a label or a text. |
delete | Delete an item, optionally with the arguments that respond only to it. |
new_map | Start over with an empty map, for another question. |
An argument can support or attack what it responds to, or undercut another argument: grant its premises, but deny that they lead to its conclusion.
| Option | What it does |
|---|---|
--save-dir DIR | Save each session's map in DIR. Also CEDRUS_SAVE_DIR. |
--save-file PATH | Save the map to one file, PATH and PATH with .txt. Also CEDRUS_SAVE_FILE. |
--max-chars N | Size limit for the map view, default 24000 (roughly 6k tokens). Larger maps are shown shortened. |
--hints | Add a short hint to each tool result. |
Running over HTTP, from a checkout, or under the MCP inspector is covered in docs/ADVANCED.md.
v1-final.GNU Affero General Public License v3.0 or later. See LICENSE.