ggRMCP is a high-performance Go gateway that translates gRPC services into MCP-compatible tools, enabling AI models to call your gRPC endpoints directly without modifying the services. It acts as a translator between the gRPC world and the MCP ecosystem, performing dynamic tool generation from service definitions and supporting both gRPC reflection and pre-built FileDescriptorSet descriptors to suit different workflows. Each discovered gRPC method is registered as an MCP tool with input/output schemas derived from protobuf definitions, automatic validation, and built-in documentation extracted from comments when available. The gateway translates JSON requests to protobuf, forwards selected HTTP headers as gRPC metadata with security filtering, and converts responses back to JSON while mapping gRPC errors to MCP errors. Its architecture emphasizes dynamic tool generation, schema generation from protobufs to JSON, and rich tool descriptions leveraging comments from descriptors. Deployment options include a sidecar proxy that coexists with any language and a centralized gateway serving multiple backends. It remains experimental with quick-start examples for a Hello service.