A secure MCP server example that demonstrates how to deploy to Google Cloud Run with authentication and identity token protection. Serves as a tutorial template for building production-ready MCP servers in the cloud.
Enables AI assistants and agents to evaluate and improve their responses using Root Signals quality evaluators for criteria like clarity, relevance, and faithfulness. Supports standard evaluations, RAG assessments, and coding policy adherence checks.
Enables MCP-compatible AI agents to deploy applications to Google Cloud Run by providing tools for deploying code, listing services, and managing Google Cloud projects.
Exposes Dify applications (both Chatflow and Workflow) as MCP (Model Context Protocol) servers, allowing Claude and other MCP clients to directly interact with Dify apps through a standardized protocol.