mcp-toolkit

The core functionality involves exposing HTTP server endpoints for AI agents. Implementers must ensure robust authentication and authorization, especially for sensitive operations. Examples provided use API keys and middleware for authentication, which is good practice. However, the 'file' resource example (e.g., `apps/playground/server/mcp/resources/file.ts`) demonstrates reading local files via a dynamic path (`file:///project/{+path}`). While its `list` function attempts to filter sensitive directories like `.git` and `node_modules`, the `handler` directly uses `variables.path` joined with `process.cwd()`. This poses a risk of arbitrary file access if the AI client is not strictly constrained or if the application layer does not implement comprehensive path validation or allow-listing. The documentation correctly notes that the application (not the AI) controls which resources are included in context, implying the implementer's responsibility to manage this risk.