Ephemeral data sandbox for AI workflows with guardrails and security

Enables zero-auth agent workflows for email OTP extraction, KV checkpoints, webhook bins, wake timers, and clean URL-to-Markdown reading.

Find and run AI workflows from the Edgaze marketplace in your agent. Sign in with OAuth.

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

Enables auditing GitHub Actions workflows for security problems directly from an MCP client, returning a risk score and findings with file:line evidence, attack narratives, and fixes. Also exposes the full rule catalog and a one-call demo that writes and scans a deliberately broken workflow.

A security scanner for your LLM agentic workflows

Find and run AI workflows from the Edgaze marketplace in your agent. Sign in with OAuth.

Score agent manifests, generate CI workflows, and pull Clarx scan findings into your IDE.