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PopNx MCPMCP servers for people who use AI · explained in plain words

Agentvault

by bch1212version 0.1.0i★ –iRuns on your computer
Registry nameio.github.bch1212/agentvault

Install

Overview

Description from the maker (original English)

Credential vault for AI agents — Fernet-encrypted keys, per-agent budgets, audit logs.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: AGENTVAULT_API_URL, AGENTVAULT_AGENT_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: AGENTVAULT_API_URL, AGENTVAULT_AGENT_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

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-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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.

Open in VS Code

Or copy the settings yourself

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.

Values you fill in

  • AGENTVAULT_API_URL required env
    Base URL of your AgentVault deployment
  • AGENTVAULT_AGENT_KEY secret required env
    Your avk_ agent API key

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account bch1212, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32568 servers in this category
  • Published to the registry more recently than 9% of the other 32568 servers in this category
  • Basic checks equal to or better than 100% of the other 32568 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Agentvault safe?

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.

What keys or codes does it need?

You need to fill in: AGENTVAULT_API_URL, AGENTVAULT_AGENT_KEY

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, FlyDocs

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
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FlyDocs

by flydocs.ai

Spec-driven development workflow: your agent works issues, sessions and the status lifecycle.

Runs on your computerUpdated today
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README from the maker

Open the README

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.

AgentVault

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.

  • Live API: https://agentvault-api-production.up.railway.app
  • Docs: https://agentvault-api-production.up.railway.app/docs
  • Status: Production (Railway + Postgres + Stripe live)

Why

Autonomous agents need API keys to do anything useful — Stripe, OpenAI, SendGrid, your own internal services. Three bad options today:

  1. Hardcode in the agent prompt or config. Leaks in logs, can't rotate, no audit trail.
  2. Pass via env vars at spawn. No per-agent isolation, no budget controls, no revocation without redeploy.
  3. Roll your own vault. Real work — encryption at rest *and* in transit, audit logs, key rotation, budget tracking.

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.

Quickstart

Direct HTTP
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"]

MCP (Claude Desktop / Cursor / Cline)
{

"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.

How it works

  • Column-level Fernet encryption — credentials are encrypted with VAULT_ENCRYPTION_KEY *before* they hit the database. Stronger than at-rest disk encryption alone.
  • `avk_` agent keys — SHA-256 hashed at rest, never stored plaintext. Recognizable prefix like sk_live_ / whsec_.
  • Permission patterns — ["stripe_*", "openai_*"] scopes an agent without a full policy engine. fnmatch-based.
  • Budget enforcement — daily and monthly caps per agent. /vault/get?cost=0.05 records the spend; 429 once the cap is hit.
  • Audit log — every access (success or denied) goes into credential_access_logs with IP, user-agent, error reason.
  • MCP server — mcp_server/ exposes list_credentials, get_credential, vault_status, set_budget, view_audit_log as stdio MCP tools.

Pricing

Tier$/moAgentsCredentialsAuditRotationBudgetsTeam
Free$0310––––
Pro$4925100✓✓––
Business$149∞∞✓✓✓✓
Enterprise$499∞∞✓✓✓✓ + SSO + compliance

Self-host

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

Architecture

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

License

MIT.

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