Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Secure secrets proxy for AI agents — manages API keys so agents never see raw credentials.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
JANEE_CONFIGYou need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"janee": {
"command": "npx",
"args": [
"-y",
"@true-and-useful/janee"
],
"env": {
"JANEE_CONFIG": "your-value"
}
}
}
}Run this in your terminal
claude mcp add janee --env JANEE_CONFIG=your-value -- npx -y @true-and-useful/janeeFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"janee": {
"command": "npx",
"args": [
"-y",
"@true-and-useful/janee"
],
"env": {
"JANEE_CONFIG": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"janee": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@true-and-useful/janee"
],
"env": {
"JANEE_CONFIG": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
JANEE_CONFIG envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account rsdouglas, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.8.5) reached the registry 9 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, sync. labs
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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.
Lipsync videos, dub them into other languages, make talking videos and open sync. Studio.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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
Only the beginning is shown; read the rest in the repo