io.github.bch1212/agentvault

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

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

NPM package agentvault-mcp
Claude Code
claude mcp add agentvault -e 'AGENTVAULT_API_URL=https://agentvault-api-production.up.railway.app' -e 'AGENTVAULT_AGENT_KEY=<your agentvault_agent_key>' -- npx -y agentvault-mcp@0.1.0
Configuration JSON (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "agentvault": {
            "command": "npx",
            "args": [
                "-y",
                "agentvault-mcp@0.1.0"
            ],
            "env": {
                "AGENTVAULT_API_URL": "https://agentvault-api-production.up.railway.app",
                "AGENTVAULT_AGENT_KEY": "<your agentvault_agent_key>"
            }
        }
    }
}

Variables d'environnement

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

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. AgentVault
  2. Why
  3. Quickstart
  4. How it works
  5. Pricing
  6. Self-host
  7. Architecture
  8. License

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.

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.

Questions fréquentes

Qu'est-ce que io.github.bch1212/agentvault ?

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

Comment installer io.github.bch1212/agentvault ?

Il s'exécute sur votre machine. Dans Claude Code : claude mcp add agentvault -e 'AGENTVAULT_API_URL=https://agentvault-api-production.up.railway.app' -e 'AGENTVAULT_AGENT_KEY=<your agentvault_agent_key>' -- npx -y agentvault-mcp@0.1.0. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour io.github.bch1212/agentvault ?

Oui. Il attend AGENTVAULT_API_URL, AGENTVAULT_AGENT_KEY, à renseigner dans sa configuration.

io.github.bch1212/agentvault est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient io.github.bch1212/agentvault ?

Il est publié par bch1212. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.