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)
Secure secrets proxy for AI agents — manages API keys so agents never see raw credentials.
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。
JANEE_CONFIG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": {
"janee": {
"command": "npx",
"args": [
"-y",
"@true-and-useful/janee"
],
"env": {
"JANEE_CONFIG": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add janee --env JANEE_CONFIG=your-value -- npx -y @true-and-useful/janee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": {
"janee": {
"command": "npx",
"args": [
"-y",
"@true-and-useful/janee"
],
"env": {
"JANEE_CONFIG": "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": {
"janee": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@true-and-useful/janee"
],
"env": {
"JANEE_CONFIG": "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。
JANEE_CONFIG 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7日
注册名称已通过 GitHub 账户 rsdouglas 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(0.8.5)于9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 Node.js。
同一分类中有:Spec Driven Development, Remote Desktop Commander, FlyDocs
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.
Spec-driven development workflow: your agent works issues, sessions and the status lifecycle.
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。
Secrets management for AI agents via MCP
Your AI agents need API access to be useful. But they shouldn't have your raw API keys.
Janee sits between your agents and your APIs — injecting credentials, enforcing policies, and logging everything.
| 🔒 Zero-knowledge agents | Agents call APIs without ever seeing keys |
| 📋 Full audit trail | Every request logged with timestamp, method, path, status |
| 🛡️ Request policies | Allow/deny rules per capability (e.g., read-only Stripe) |
| ⏱️ Session TTLs | Time-limited access with instant revocation |
| 🔌 Works with any MCP client | Claude Desktop, Cursor, OpenClaw, and more |
| 🏠 Local-first | Keys encrypted on your machine, never sent to a cloud |
| 🖥️ Exec mode | Run CLI tools with injected credentials — agents never see the keys |
| 🤖 GitHub App auth | Short-lived tokens for autonomous agents — no static PATs |
| 🐦 Twitter/X OAuth 1.0a | Per-request OAuth signing — 4 secrets stay encrypted |
| ☁️ AWS SigV4 | Sign AWS API requests server-side — SES, S3, and more |
| 🔧 Automatic git auth | git push/pull just works when credentials include GitHub tokens |
AI agents need API access to be useful. The current approach is to give them your keys and hope they behave.
Janee is an MCP server that manages API secrets for AI agents:
~/.janee/execute MCP toolYour keys stay on your machine. Agents never see them. You stay in control.
Set up your APIs in Janee once:
services:
stripe: baseUrl: https://api.stripe.com auth: { type: bearer, key: sk_live_xxx } github: baseUrl: https://api.github.com auth: { type: bearer, key: ghp_xxx } openai: baseUrl: https://api.openai.com auth: { type: bearer, key: sk-xxx }
Now every agent that connects to Janee can use them:
No more copying keys between tools. No more "which agent has which API configured?" Add a new agent? It already has access to everything. Revoke a key? Update it once in Janee.
One config. Every agent. Full audit trail.
npm install -g @true-and-useful/janee
janee init
This creates ~/.janee/config.yaml with example services.
Option 1: Interactive (recommended for first-time users)
janee add
Janee will guide you through adding a service:
Service name: stripe
Base URL: https://api.stripe.com Auth type: bearer API key: sk_live_xxx
✓ Added service "stripe"
Create a capability for this service? (Y/n): y Capability name (default: stripe): TTL (e.g., 1h, 30m): 1h Auto-approve? (Y/n): y
✓ Added capability "stripe"
Done! Run 'janee serve' to start.
Using an AI agent? See Non-interactive Setup for flags that skip prompts, or the agent-specific guides below.
Option 2: Edit config directly
Edit ~/.janee/config.yaml:
services:
stripe: baseUrl: https://api.stripe.com auth: type: bearer key: sk_live_xxx
capabilities: stripe: service: stripe ttl: 1h autoApprove: true
Some tools need credentials as environment variables, not HTTP headers. Exec mode handles this:
janee add twitter --exec \
--key "tvly-xxx" \ --allow-commands "bird,tweet-cli" \ --env-map "TWITTER_API_KEY={{credential}}"
Now agents can run CLI tools through Janee without ever seeing the API key:
// Agent calls janee_exec tool
janee_exec({ capability: "twitter", command: ["bird", "post", "Hello world!"], cwd: "/home/agent/project", // optional working directory reason: "User asked to post a tweet" })
Janee spawns the process with TWITTER_API_KEY injected, runs the command, and returns stdout/stderr. The credential never enters the agent's context.
Key flags:
--exec — configure as exec-mode (CLI wrapper instead of HTTP proxy)--allow-commands — whitelist of allowed executables (security)--env-map — map credentials to environment variables--work-dir — working directory for the subprocess--timeout — max execution time (default: 30s)When using exec mode with GitHub credentials, Janee automatically handles git authentication. No extra configuration needed — git push, git pull, and git clone just work:
capabilities:
// Agent can push code without ever seeing the token
janee_exec({ capability: "git-ops", command: ["git", "push", "origin", "main"], cwd: "/workspace/my-repo" })
Janee detects git commands with GH_TOKEN/GITHUB_TOKEN in the environment and creates a temporary askpass script for HTTPS authentication. The script is cleaned up automatically after the command completes.
Static tokens are risky for long-running agents. GitHub App auth generates short-lived installation tokens on demand — no long-lived PATs required.
Option 1: Use create-gh-app (recommended)
npx @true-and-useful/create-gh-app create my-agent --owner @me
npx @true-and-useful/create-gh-app janee-add my-agent
Done. Your agent now gets short-lived GitHub tokens through Janee's MCP proxy.
Option 2: Manual setup
janee add github-app \
--auth-type github-app \ --app-id 123456 \ --pem-file /path/to/private-key.pem \ --installation-id 789
Or via config:
services:
github: baseUrl: https://api.github.com auth: type: github-app appId: "123456" pemFile: /path/to/private-key.pem installationId: "789"
How it works: When an agent requests access, Janee signs a JWT with the app's private key, exchanges it for a 1-hour installation token via GitHub's API, and caches the token until expiry. The agent never sees the private key — only the short-lived token reaches the API.
janee serve
Agents that support MCP (Claude Desktop, Cursor, OpenClaw) can now call the execute tool to make API requests through Janee:
// Agent calls the execute tool
execute({ capability: "stripe", method: "GET", path: "/v1/balance", reason: "User asked for account balance" })
Janee decrypts the key, makes the request, logs everything, and returns the response.
Works with any agent that speaks MCP:
@true-and-useful/janee-openclaw)janee serveIf you're using OpenClaw, install the plugin for native tool support:
npm install -g @true-and-useful/janee
janee init
openclaw plugins install @true-and-useful/janee-openclaw
Enable in your agent config:
{
agents: { list: [{ id: "main", tools: { allow: ["janee"] } }] } }
Your agent now has these tools:
janee_list_services — Discover available APIsjanee_execute — Make API requests through JaneeThe plugin spawns janee serve automatically. All requests are logged to ~/.janee/logs/.
Janee exposes three MCP tools:
| Tool | Description |
|---|---|
list_services | Discover available APIs and their policies |
execute | Make an API request through Janee (HTTP proxy mode) |
exec | Run a CLI command with injected credentials (exec mode) |
manage_credential | View, grant, or revoke access to agent-scoped credentials |
reload_config | Reload config from disk after adding/removing services (available when started with janee serve) |
Agents discover what's available, then call APIs through Janee. Same audit trail, same protection.
Config lives in ~/.janee/config.yaml:
server:
host: localhost
services: stripe: baseUrl: https://api.stripe.com auth: type: bearer key: sk_live_xxx # encrypted at rest
github: baseUrl: https://api.github.com auth: type: bearer key: ghp_xxx
capabilities: stripe: service: stripe ttl: 1h autoApprove: true
stripe_sensitive: service: stripe ttl: 5m requiresReason: true
Services = Real APIs with real keys Capabilities = What agents can request, with policies
| Type | Description | Example |
|---|---|---|
bearer | Bearer token in Authorization header | Stripe, OpenAI, GitHub |
basic | HTTP Basic Auth (username + password) | Internal APIs |
hmac-bybit | HMAC-SHA256 signing for Bybit | Bybit exchange |
hmac-okx | HMAC-SHA256 + passphrase for OKX | OKX exchange |
hmac-mexc | HMAC-SHA256 signing for MEXC | MEXC exchange |
headers | Custom key-value headers | Non-standard APIs |
service-account | Google service account JSON key | Google Cloud |
github-app | Short-lived GitHub installation tokens | GitHub API |
oauth1a-twitter | OAuth 1.0a per-request signing | Twitter/X API v2 |
aws-sigv4 | AWS Signature V4 per-request signing | SES, S3, and other AWS services |
Janee computes OAuth 1.0a signatures (HMAC-SHA1) server-side, so your 4 Twitter secrets stay encrypted at rest and never enter the agent's context:
services:
twitter: baseUrl: https://api.x.com auth: type: oauth1a-twitter consumerKey: xxx # encrypted at rest consumerSecret: xxx # encrypted at rest accessToken: xxx # encrypted at rest accessTokenSecret: xxx # encrypted at rest
capabilities: twitter: service: twitter ttl: 1h autoApprove: true
Or use the built-in template:
janee add twitter
Janee computes AWS Signature V4 (HMAC-SHA256) per-request, keeping your access keys encrypted at rest. Non-secret fields (region, awsService) stay in plain config:
services:
aws-ses: baseUrl: https://email.us-east-1.amazonaws.com auth: type: aws-sigv4 accessKeyId
只显示了开头部分;其余内容请在仓库中阅读