Announcing mcp-grpc-transport v0.1.0

Happy Friday everyone! Got something to share with y'all: Announcing mcp-grpc-transport — production-ready gRPC support for the Model Context Protocol (MCP).

After extensive community discussion (including Google Cloud's contributions toward pluggable transports), I'm excited to release mcp-grpc-transport v0.1.0 today. This package adds a clean, pluggable gRPC transport layer on top of @modelcontextprotocol/sdk. It delivers the performance, security, and operational characteristics that enterprise teams expect when running AI agents at scale.

Key capabilities

  • Binary protobuf encoding → significantly lower latency and payload size compared to JSON-RPC over Streamable HTTP
  • Full support for unary and bidirectional streaming RPCs (ideal for long-horizon agent workflows)
  • Kubernetes-native: built-in grpc.health.v1.Health service for liveness/readiness probes
  • mTLS + custom interceptors for Zero-Trust architectures (Cloudflare Mesh, Istio, etc.)
  • Optional JSON-RPC session streaming for gradual migration
  • Works with any MCP server — fully generic and framework-agnostic

Installation & basic usage is straightforward (see code snippet in comments or npm page). If you're building production MCP servers and already operate in a gRPC-heavy environment, this should feel like a natural fit. It also pairs excellently with unified MCP servers that embed optimized internal layers (like GraphQL proxies for token efficiency).

Try it out: npm — mcp-grpc-transport

Repo & examples: part of the ClawQL project on GitHub.

Feedback, bug reports, and PRs are very welcome. Let's make MCP even more cloud-native and production-ready together.

Original thread (comments, reactions, and any media): View on LinkedIn

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