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

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.