Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Credential vault for AI agents — Fernet-encrypted keys, per-agent budgets, audit logs.
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.
AGENTVAULT_API_URL, AGENTVAULT_AGENT_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You 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": {
"agentvault": {
"command": "npx",
"args": [
"-y",
"agentvault-mcp"
],
"env": {
"AGENTVAULT_API_URL": "your-value",
"AGENTVAULT_AGENT_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add agentvault --env AGENTVAULT_API_URL=your-value --env AGENTVAULT_AGENT_KEY=your-value -- npx -y agentvault-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"agentvault": {
"command": "npx",
"args": [
"-y",
"agentvault-mcp"
],
"env": {
"AGENTVAULT_API_URL": "your-value",
"AGENTVAULT_AGENT_KEY": "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": {
"agentvault": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"agentvault-mcp"
],
"env": {
"AGENTVAULT_API_URL": "your-value",
"AGENTVAULT_AGENT_KEY": "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.
These 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 bch1212, 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.
You need to fill in: AGENTVAULT_API_URL, AGENTVAULT_AGENT_KEY
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 (0.1.0) reached the registry 6 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, FlyDocs
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.
Spec-driven development workflow: your agent works issues, sessions and the status lifecycle.
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.
AI-native credential management for autonomous agents. Store API keys with column-level Fernet encryption, issue unique avk_ keys to registered agent identities, proxy decrypted values with TTL, enforce per-agent spending budgets, log every access, and expose everything as an MCP server.
Autonomous agents need API keys to do anything useful — Stripe, OpenAI, SendGrid, your own internal services. Three bad options today:
AgentVault is option 3 as a service. One avk_ key per agent. Permission patterns (["stripe_*", "openai_*"]). Daily/monthly spending caps. Full access log. MCP-native so agents can vault.get_credential("stripe_key") and get a TTL-bound decrypted value back.
import httpx
resp = httpx.post( "https://agentvault-api-production.up.railway.app/api/v1/vault/get/stripe_key", headers={"X-Agent-Key": "avk_..."}, params={"cost": 0.05}, ) stripe_key = resp.json()["value"]
{
"mcpServers": { "agentvault": { "command": "python", "args": ["-m", "mcp_server"], "env": { "AGENTVAULT_API_URL": "https://agentvault-api-production.up.railway.app", "AGENTVAULT_AGENT_KEY": "avk_..." } } } }
Then in Claude: vault.get_credential("stripe_key") returns the decrypted value.
VAULT_ENCRYPTION_KEY *before* they hit the database. Stronger than at-rest disk encryption alone.sk_live_ / whsec_.["stripe_*", "openai_*"] scopes an agent without a full policy engine. fnmatch-based./vault/get?cost=0.05 records the spend; 429 once the cap is hit.credential_access_logs with IP, user-agent, error reason.mcp_server/ exposes list_credentials, get_credential, vault_status, set_budget, view_audit_log as stdio MCP tools.| Tier | $/mo | Agents | Credentials | Audit | Rotation | Budgets | Team |
|---|---|---|---|---|---|---|---|
| Free | $0 | 3 | 10 | – | – | – | – |
| Pro | $49 | 25 | 100 | ✓ | ✓ | – | – |
| Business | $149 | ∞ | ∞ | ✓ | ✓ | ✓ | ✓ |
| Enterprise | $499 | ∞ | ∞ | ✓ | ✓ | ✓ | ✓ + SSO + compliance |
git clone https://github.com/bch1212/agentvault
cd agentvault pip install -r requirements.txt cp .env.example .env # then fill in VAULT_ENCRYPTION_KEY and DATABASE_URL python -m api.main
Run tests:
python -m pytest -v # 34 tests
Deploy to Railway:
bash deploy.sh
api/
├── main.py # FastAPI + lifespan ├── database.py # Async SQLAlchemy (auto-rewrites postgresql:// → postgresql+asyncpg://) ├── services/ │ ├── encryption.py # Fernet encrypt/decrypt │ ├── auth.py # avk_ key gen + SHA-256 hashing │ ├── budget.py # Per-agent spend tracking │ ├── audit.py # Access log │ └── alerts.py # SendGrid alerts ├── middleware/ # X-Agent-Key + Bearer auth └── routers/ # users, agents, credentials, vault, audit, budgets, billing mcp_server/ # FastMCP stdio server tests/ # 34 tests, SQLite in-memory
MIT.