Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Secure secrets proxy for AI agents — manages API keys so agents never see raw credentials.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
JANEE_CONFIGNecesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"janee": {
"command": "npx",
"args": [
"-y",
"@true-and-useful/janee"
],
"env": {
"JANEE_CONFIG": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add janee --env JANEE_CONFIG=your-value -- npx -y @true-and-useful/janeeCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"janee": {
"command": "npx",
"args": [
"-y",
"@true-and-useful/janee"
],
"env": {
"JANEE_CONFIG": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"janee": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@true-and-useful/janee"
],
"env": {
"JANEE_CONFIG": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
JANEE_CONFIG envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub rsdouglas, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.8.5) llegó al registro hace 9 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, Reelsaw
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Drive a self-hosted Reelsaw: turn long videos into vertical clips, edit, re-render and export them.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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
Solo se muestra el principio; lee el resto en el repo