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)
Access your QuestLaw library in GenAI Tools.
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。
QUESTLAW_VAULT_FILE, QUESTLAW_DISCLOSURE_ACK, QUESTLAW_KEY_ACCOUNT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": {
"questlaw-library": {
"command": "npx",
"args": [
"-y",
"questlaw-mcp"
],
"env": {
"QUESTLAW_VAULT_FILE": "your-value",
"QUESTLAW_DISCLOSURE_ACK": "your-value",
"QUESTLAW_KEY_ACCOUNT": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add questlaw-library --env QUESTLAW_VAULT_FILE=your-value --env QUESTLAW_DISCLOSURE_ACK=your-value --env QUESTLAW_KEY_ACCOUNT=your-value -- npx -y questlaw-mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"questlaw-library": {
"command": "npx",
"args": [
"-y",
"questlaw-mcp"
],
"env": {
"QUESTLAW_VAULT_FILE": "your-value",
"QUESTLAW_DISCLOSURE_ACK": "your-value",
"QUESTLAW_KEY_ACCOUNT": "your-value"
}
}
}
}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": {
"questlaw-library": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"questlaw-mcp"
],
"env": {
"QUESTLAW_VAULT_FILE": "your-value",
"QUESTLAW_DISCLOSURE_ACK": "your-value",
"QUESTLAW_KEY_ACCOUNT": "your-value"
}
}
}
}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。
QUESTLAW_VAULT_FILE envQUESTLAW_KEY_ACCOUNT env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 questlaw 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。
你需要填写:QUESTLAW_DISCLOSURE_ACK
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(0.5.1)于29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 Node.js。
同一分类中有:Spec Driven Development, Remote Desktop Commander, SSTracker free youth training
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.
Free youth sports drills, practice plans and age-group answers for parents and coaches.
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。
A read-only MCP server that lets an AI client search and read your QuestLaw research library.
QuestLaw MCP is an experimental, open-source project for connecting your QuestLaw library to AI tools.
The server decrypts your library on your own machine, from a .qlvault export generated via the extension. It is read-only and makes no network connections.
This project is not part of the official, supported QuestLaw product suite.
Using it decrypts your library on your computer and gives the readable contents to the AI client you connect it to. That client sends what it reads to its provider. The server itself sends nothing anywhere, but it cannot control what the client or the provider does with what it receives. Please use it with that in mind, and read SECURITY.md before you connect a library that holds sensitive information.
questlaw-backup- .qlvault).QuestLaw extension your machine AI client
+--------------+ +---------------------------+ +----------+ | encrypted | export | questlaw-library-mcp | stdio | Claude, | | library |----------->| |<------>| ChatGPT, | | (IndexedDB) | .qlvault | 1. reads the export | MCP | ... | +--------------+ file | 2. unwrap with your key | +----------+ | 3. decrypt in memory | account key --------->| 4. build a search index | (OS secret store) | 5. answer tool calls | +---------------------------+ no network connections, no writes
npx -y questlaw-mcp@0.5.1 setup
setup shows the disclosure and asks you to accept it, stores your account key in the OS secret store, finds your newest export, test-decrypts it, and prints the configuration for your client. To check an install later:
npx -y questlaw-mcp@0.5.1 doctor
From a clone, run the same commands as node bin/questlaw-library-mcp.js setup and node bin/questlaw-library-mcp.js doctor. Once doctor passes, choose an install method below.
In the extension, choose export a backup. An encrypted library produces a file named questlaw-backup- .qlvault. If you turn on daily backup in the extension's settings, the extension writes a new file each day, so the AI client sees recent research without any work from you.
By default, the server reads the newest .qlvault in ~/Downloads. To change that, set QUESTLAW_VAULT_FILE to a specific file or to a different folder.
The server reads a copy of your library from the time of the export, not your live library. If you add research after the export, the model can't see it until you export again.
Word add-in users: this server reads only the
.qlvaultexport. It has no
access to your Word documents, and using it with Microsoft Copilot does not change that.
An export's vault key is wrapped with your 43-character account key, so the server needs that key to open an export. Get it from the extension, under Settings, Encrypted library, Show account key, and then store it:
npx -y questlaw-mcp@0.5.1 setup
| Platform | Store |
|---|---|
| macOS | login keychain |
| Windows | DPAPI blob under %APPDATA% |
| Linux | libsecret, through secret-tool |
On macOS and Linux, the key is passed to the store on stdin. On Windows, it is passed through the child process environment. It never appears in a command line.
The account key opens every export of your library, so treat it like a password. You can supply it through QUESTLAW_RECOVERY_CODE instead, but the server ignores that variable unless you also set QUESTLAW_ALLOW_ENV_KEY=1.
The plugin includes the server and a skill that explains to the model how search works. Download questlaw-mcp-claude-plugin- .zip from Releases, or build it with npm run plugin.
Upload the ZIP through Claude's Plugins, Upload plugin control (under Customize or Settings, depending on the client). The same ZIP works for Claude Desktop plugin uploads, Cowork, and Claude Code. The local MCP server runs in Cowork and Claude Code, and plugin skills also work in chat. See Anthropic's plugin guide.
The plugin takes no configuration. It reads the newest .qlvault in ~/Downloads, the key from the default account in the secret store, and the consent that setup recorded. Run setup before you upload it.
To replace an installed copy, uninstall it before you upload the new archive:
claude plugin uninstall questlaw-library
questlaw-mcp-claude-plugin- .zip, as described above.questlaw-mcp-claude-desktop- .mcpb from Releases, or build it with npm run bundle. Install it through Desktop's extension installer, and type i-understand in the required disclosure field.Either way, store your key first with setup.
claude mcp add questlaw-library -- npx -y questlaw-mcp@0.5.1
codex mcp add questlaw-library -- npx -y questlaw-mcp@0.5.1
Or add it to ~/.codex/config.toml directly:
[mcp_servers.questlaw-library]
command = "npx" args = ["-y", "questlaw-mcp@0.5.1"]
[mcp_servers.questlaw-library.env] QUESTLAW_VAULT_FILE = "/absolute/path/to/export_folder"
Codex saves env values in config.toml as plain text. Put your export path there if you like, but keep the account key in the OS secret store. The QUESTLAW_ALLOW_ENV_KEY setting exists to stop the key from ending up in a file like this one.
The ChatGPT desktop app includes the Codex engine and reads the same ~/.codex/config.toml. If you add the server through Codex, it works in the Codex part of the desktop app, but not in ordinary ChatGPT chats. For those, see the next section.
ChatGPT can't start a local server itself. Instead, it connects through OpenAI's Secure MCP Tunnel, a connection that only goes outbound from your machine. You need developer mode in ChatGPT and access to the OpenAI developer platform.
One-time setup:
tunnel_) and a runtime API key.brew install tunnel-client.export CONTROL_PLANE_API_KEY="sk-..."
tunnel-client init \ --sample sample_mcp_stdio_local \ --profile questlaw \ --tunnel-id tunnel_YOUR_TUNNEL_ID \ --mcp-command "/path/to/node /absolute/path/to/questlaw-mcp/bin/questlaw-library-mcp.js"
tunnel-client doctor --profile questlaw --explain
Each time you want to use it, start the tunnel and leave it running:
tunnel-client run --profile questlaw
The tunnel client starts the MCP server for you. To check that both are running:
pgrep -fl "tunnel-client|questlaw-library-mcp"
{
"mcpServers": { "questlaw-library": { "command": "npx", "args": ["-y", "questlaw-mcp@0.5.1"] } } }
Add an env block only to change a default:
{
"mcpServers": { "questlaw-library": { "command": "npx", "args": ["-y", "questlaw-mcp@0.5.1"], "env": { "QUESTLAW_VAULT_FILE": "/absolute/path/to/export_folder" } } } }
The version is pinned so an install runs exactly the release you checked. To upgrade, change the version in your client configuration.
Default file locations:
| Client | Path |
|---|---|
| Claude Desktop (macOS) | ~/Library/Application Support/Claude/claude_desktop_config.json |
| Claude Desktop (Windows) | %APPDATA%\Claude\claude_desktop_config.json |
| Claude Code | ~/.claude.json |
| Codex | ~/.codex/config.toml |
| ChatGPT | No configuration file. See ChatGPT |
The setup command prints the exact configuration for your machine.
npx -y questlaw-mcp@0.5.1 doctor
ok vendored modules: 4 verified, from questlaw-extension @ 58d523c9 (synced 2026-10-07)
ok disclosure: accepted 2026-09-14T22:09:34.603Z ok account key: found in login keychain as "default" ok library export: questlaw-backup-2026-09-09.qlvault, 2.01 MiB, exported 11 days ago ok decrypt: 341 records in 354ms -- 32 cases, 4 projects, 6 relationships, ...
5 passed, 0 warnings, 0 failing
| Tool | Arguments | Purpose |
|---|---|---|
library_overview | none | What the library holds, its projects, courts, and tags, and the export date |
list_cases | project, court, tag, sort, limit, offset |
只显示了开头部分;其余内容请在仓库中阅读