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)
Offline, read-only auditing of MCP client configuration files with redacted findings
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": {
"latchpoint": {
"command": "uvx",
"args": [
"mcp-latchpoint",
"serve",
"--root",
"your-value"
]
}
}
}在终端中运行这条命令
claude mcp add latchpoint -- uvx mcp-latchpoint serve --root your-value这个服务器需要在启动命令中填入值,请复制设置后自行填写。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"latchpoint": {
"command": "uvx",
"args": [
"mcp-latchpoint",
"serve",
"--root",
"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。
这个服务器需要在启动命令中填入值,请复制设置后自行填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"latchpoint": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-latchpoint",
"serve",
"--root",
"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。
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7日
注册名称已通过 GitHub 账户 robyroro 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(0.1.1)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 Python (uv)。
同一分类中有:Spec Driven Development, Remote Desktop Commander, First Sale Scout
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.
Playbooks and a 14-day checklist for founders winning their first paying customers.
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。
mcp-latchpoint audits MCP client configuration files without running the configured servers. It works offline, reads only local files you select, and produces text, JSON, or SARIF results.
This is an early defensive tool. Review findings in context before changing a working configuration.
The v0.1 rules cover:
npx and uvx packages without exact versionsEvery finding has a stable rule ID, severity, location, remediation, redacted evidence, and a confidence note when interpretation depends on the launched server.
Python 3.11 or newer is required.
python -m pip install mcp-latchpoint
To install from a local checkout:
python -m venv .venv
. .venv/bin/activate
.venv\Scripts\Activate.ps1 python -m pip install .
For development:
python -m pip install -e ".[dev]"
pytest ruff check . mypy
The MCP server uses the official Python SDK v2 and the dependency is constrained to mcp>=2.3,<3.
Scan one or more explicit files:
mcp-latchpoint scan ~/.config/Code/User/mcp.json
mcp-latchpoint scan examples/risky.json --format json mcp-latchpoint scan examples/risky.json --format sarif --fail-on high > results.sarif
Restrict every explicit path to an approved directory:
mcp-latchpoint scan ./configs --allowed-root ./configs
Directories are searched only for recognized MCP config filenames, up to 256 files. A file is limited to 1 MiB by default. Change these bounds with --max-files and --max-bytes.
Exit codes are 0 for a completed scan below the chosen threshold, 1 when a finding meets --fail-on, and 2 for input, containment, or parse errors. The default --fail-on none reports findings without failing a build.
List and explain rules:
mcp-latchpoint rules
mcp-latchpoint explain MCP004
Explicit files may use these structures:
| Client layout | Container | Accepted file syntax |
|---|---|---|
Claude Desktop, Cursor, portable .mcp.json, generic MCP JSON | top-level mcpServers object | JSON |
| Claude Code user/local settings | top-level mcpServers, plus projects. .mcpServers in ~/.claude.json | JSON |
| VS Code | top-level servers object | JSONC for .vscode/mcp.json |
| Codex | [mcp_servers. ] tables | TOML |
Files ending in .jsonc are also parsed as JSONC. Other .json files remain strict JSON so malformed input is not silently accepted.
--discover checks only the following paths when they exist. It does not search the rest of the home directory.
~/.claude.json, ~/.cursor/mcp.json, ~/.codex/config.toml, $COPILOT_HOME/mcp-config.json with ~/.copilot/mcp-config.json as the fallback.mcp.json, .codex/config.toml, .cursor/mcp.json, .vscode/mcp.json%APPDATA%\Claude\claude_desktop_config.json, %APPDATA%\Code\User\mcp.json~/Library/Application Support/Claude/claude_desktop_config.json, ~/Library/Application Support/Code/User/mcp.json$XDG_CONFIG_HOME/Code/User/mcp.json, falling back to ~/.config/Code/User/mcp.jsonThe stdio server exposes two tools: list_rules and scan. It requires an allowed root at startup. Relative scan paths are resolved below that root; absolute paths, .. traversal, and symlinks cannot escape it.
mcp-latchpoint-server --root /absolute/path/to/reviewed-configs
mcp-latchpoint serve --root /absolute/path/to/reviewed-configs
Example client entry:
{
"mcpServers": { "latchpoint": { "command": "/absolute/path/to/mcp-latchpoint-server", "args": ["--root", "/absolute/path/to/reviewed-configs"] } } }
The server returns findings and scan metadata, never raw configuration content. Stdio is the only server transport exposed by the entry point, and stdout is reserved for MCP protocol messages.
The serve command is also the entry point advertised in the MCP Registry. Set --root to a directory you explicitly trust before connecting a client.
The Glama listing builds a container from the repository. In its Dockerfile configuration, use Python 3.13, these build steps and command arguments:
["uv sync --no-dev"]
["mcp-proxy", "--", "/app/.venv/bin/mcp-latchpoint-server", "--root", "/app/examples"]
The root is an existing directory with synthetic sample configurations. It lets Glama start and inspect the tools without giving the server access to a user's files. The command uses the executable inside the virtual environment created by uv sync. For this demo, the environment-variable schema can be {"type":"object","properties":{}} and placeholder parameters can be {}.
To scan your own configurations, run the server locally with --root pointing to a directory you explicitly trust. Glama's demo root is only for the sample files in examples/.
The scanner never executes commands, installs packages, resolves referenced environment variables, or connects to endpoints. It does not follow configuration includes or inspect an MCP server's code or runtime behavior. Argument-based rules are intentionally limited to recognizable patterns, so custom flags can be missed. A clean report is not proof that a server is safe.
Secret detection is designed to emit field names and markers rather than values. If you find a leak or a path-containment problem, follow SECURITY.md and do not attach a real configuration to a public issue.
MIT. See LICENSE.