Dynamically exposes Python SDKs (Kubernetes, GitHub, Azure) through an agent-friendly gRPC interface. Enables interaction with cloud services and platforms using natural language by automatically converting SDK functionality into callable functions.
An MCP server for calling gRPC methods from AI agents, enabling them to inspect gRPC APIs and invoke unary RPCs using server reflection or local .proto files.
Model Context Protocol server for Google Cloud Platform, enabling interaction with Resource Manager, Compute Engine, Cloud Storage, BigQuery, Pub/Sub, and Cloud Logging via natural language.
Enables natural language control over Google Workspace services including Gmail, Calendar, Drive, Docs, Sheets, Slides, Forms, Tasks, Chat, Contacts, Apps Script, and Custom Search via a remote MCP server hosted on Google Cloud Run.
Enables AI assistants to control Pro Tools via the PTSL gRPC API, providing session management, timeline navigation, track control, clip management, editing, markers, transport, audio analysis, and more.
