Gatekeeper

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Gatekeeper is a robust MCP (Model Context Protocol) server designed to enhance the security and control over shell command execution and HTTP proxying for AI assistants. It offers configurable plugin definitions, multiple sandboxing options (none, bubblewrap, WASM), and policy-based argument validation, ensuring that AI agents can interact with system resources safely and predictably. With support for API key authentication, rate limiting, audit logging, and rich UI rendering, it empowers developers to integrate powerful tooling while maintaining strict oversight and a user-friendly experience.

Características Principales

• Policy-based access control using glob patterns for argument validation
• Supports stdio, HTTP (JSON-RPC 2.0 with Bearer token auth), and bridge operating modes
• Optional SQLite-based audit logging for all tool calls and MCP Apps UI support
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• Flexible JSON-based plugin configuration for defining tools and allowed environments
• Secure command execution with multiple sandboxing modes (none, bubblewrap, WASM)

Casos de Uso

• Integrating secure command execution directly with MCP clients like Claude Desktop
• Exposing controlled shell commands as a rate-limited and authenticated HTTP API
• Proxying existing stdio MCP servers over HTTP, adding security and audit capabilities