Vultrino

A credential proxy for the AI era — enabling AI agents to use credentials without seeing them.

What is Vultrino?

Vultrino keeps raw credential fields out of agent-facing requests and performs authenticated operations inside trusted connectors. An agent receives aliases and action results rather than direct access to the stored secret.

┌─────────────────┐     ┌─────────────────┐     ┌─────────────────┐
│   AI Agent      │────▶│    Vultrino     │────▶│  External API   │
│   (Claude, etc) │     │ (uses secrets)  │     │  or Operation   │
└─────────────────┘     └─────────────────┘     └─────────────────┘
        │                       │
        │ "Use my-credential"   │ Injects auth, signs data, etc.
        │                       │
        ▼                       ▼
   Alias-only request    Injects inside a trusted connector

Key Features

Credential Isolation — raw fields are absent from agent/MCP response schemas
Role-Based Access Control — Fine-grained permissions for different applications
Multiple Credential Types — API keys, Basic Auth, OAuth2, signing keys, and more
Plugin System — Extend public-data actions through the credential-confining WASM ABI v2
MCP Integration — Native Model Context Protocol support for LLM tools
Web UI — Clean admin interface for managing credentials and keys
Encrypted Storage — AES-256-GCM encryption with Argon2 key derivation
Policy Engine — URL patterns, method restrictions, rate limiting
Audit Logging — Track all credential usage

Use Cases

AI Agent Security

Give Claude, GPT, or other AI agents the ability to call APIs without exposing credentials. The agent requests actions through Vultrino, which handles authentication transparently.

Team Credential Management

Centralize API credentials for your team. Create scoped API keys for different applications with specific permissions.

Development Environments

Safely share credentials across development, staging, and production without exposing secrets in code or environment variables.

Quick Example

# Add a credential
vultrino add --alias github-api --key ghp_your_token_here

# Make an authenticated request
vultrino request github-api https://api.github.com/user

# Or use with AI agents via MCP
vultrino serve --mcp

Components

Component	Description
CLI	Command-line interface for all operations
Web UI	Browser-based admin dashboard
HTTP API	`POST /api/v1/execute` runs authenticated requests on behalf of agents (served by `vultrino web`)
MCP Server	Model Context Protocol server for LLM integration

Next Steps

Installation — Get Vultrino running
Quick Start — Add your first credential
Using with AI Agents — Configure LLM integration
Plugin System — Extend with custom credential types

Vultrino Documentation