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)
Encrypted local vault for API keys. Your AI fetches keys on demand and scans code for leaks.
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。
VAULT_MASTER_PASSWORD, VAULT_HOME标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
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 …”。
链接指向作者自己的文件;我们不托管也不重新打包它。打开文件后,Claude Desktop 会进行安装。
在终端中运行这条命令
运行前请先填写空着的值。
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。
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。
VAULT_HOME 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8日
注册名称已通过 GitHub 账户 marstudio360 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:VAULT_MASTER_PASSWORD
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(1.1.1)于33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 MCPB。
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:↓ 每周下载量i★ 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
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。
Encrypted local vault for API keys. Your AI fetches keys on demand and scans code for leaks.
Vault keeps every API key, token and password in one encrypted file on your machine (Fernet, with the key derived from your master password by scrypt). The master password is read from your system keyring, or from VAULT_MASTER_PASSWORD on machines with no keyring. Your AI searches the vault and fetches the exact key it needs when it needs it, so keys stop getting pasted into chats. It exports an entry as .env lines, tracks rotation dates, keeps a usage log, ships entry templates for common services, and scans a project folder for keys left in plain text, reporting file and line.
A desktop window (vault_ui.py) and a terminal CLI (vault_core.py) open the same vault with no AI involved. There is no password reset: lose the master password and the file stays unreadable.
Homepage: https://vibedna.ai/store/vault
| Tool | What it does |
|---|---|
credential_exists(name) | Check whether an entry exists before asking the user for a key |
get_credential(name, key) | Return one field of one entry |
list_credentials() | Entry names, categories and field names. No values |
search_credentials(term) | Search by name, category or notes |
add_credential(name, category, fields, notes) | Add an entry (fields is a JSON object) |
edit_credential(name, fields) | Update fields; an empty value removes that field |
delete_credential(name, confirm) | Delete an entry (confirm must equal the name) |
export_env(name) | The entry's fields as KEY=value lines |
add_with_template(service, name, fields, notes) | Add an entry from a service template |
list_templates() | The available templates |
scan_for_leaks(path) | Scan a folder for plaintext keys: your vault's values plus known key patterns |
leak_history() | Recent leak-scan results |
check_rotation_due(days) | Entries not rotated in days |
mark_rotated(name) | Record a rotation |
usage_log(name) | Recent credential-access events |
backup_vault() | Copy the encrypted file to the backup folder |
check_for_update() | Compare this copy with the published version |
git clone https://github.com/marstudio360/vibedna-vault-mcp
cd vibedna-vault-mcp python -m venv .venv
pip install -r requirements.txt python vault_core.py init
Store the master password in your system keyring once, so the MCP server can open the vault:
python -c "import keyring; keyring.set_password('vibedna-vault','master', input('master password: '))"
claude mcp add vault --scope user -- /absolute/path/to/vibedna-vault-mcp/.venv/bin/python /absolute/path/to/vibedna-vault-mcp/server.py
Or in a project's .mcp.json:
{
"mcpServers": { "vault": { "command": "/absolute/path/to/vibedna-vault-mcp/.venv/bin/python", "args": ["/absolute/path/to/vibedna-vault-mcp/server.py"] } } }
On Windows the interpreter is .venv\Scripts\python.exe.
Add the same mcpServers block to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (one project).
Add the same mcpServers block to claude_desktop_config.json (Settings > Developer > Edit Config), then restart Claude Desktop.
INSTALL.md is a step-by-step guide written so you can paste it into an AI chat and let the AI do the install. It also covers the desktop window and the CLI.
| Variable | Default | What it does |
|---|---|---|
VAULT_HOME | ~/.vibedna-vault | Folder of the encrypted vault file (vault.enc) |
VAULT_MASTER_PASSWORD | (unset) | Master password for machines with no system keyring |
VAULT_BACKUP_HOME | ~/.vibedna-vault/backups | Where backup_vault writes copies (the last 30 are kept) |
The usage log and leak-scan results are written next to the vault file, in logs/.
The vault, the window and the CLI make no network calls. check_for_update is the one tool that does: it asks https://vibedna.ai/api/mcp/latest for the published version number.
MIT, see LICENSE. Copyright (c) 2026 VibeDNA.
Support: admin@vibedna.ai