Go MCP Server Ecosystem

September 1, 2024 · 1 min read
projects

Summary

Collection of production MCP (Model Context Protocol) servers built in Go. Each server exposes a real-world service — iCloud, Todoist, Notion, Home Assistant — as a standardized tool interface for AI agents.

Problem

AI agents need to interact with real tools and data sources, but each integration requires custom code. No standardized, production-grade Go implementations existed for common services.

Constraints

  • Each server must be a single binary with zero external dependencies
  • Must handle authentication securely (no credential leakage)
  • Low latency: agents wait on tool responses
  • Must conform to MCP protocol specification exactly

Architecture

Each MCP server is an independent Go binary that implements the MCP protocol and wraps a specific service API. Servers handle authentication, rate limiting, and error mapping internally.

Key decisions

  • Go for MCP servers: Single binary, low memory footprint, fast startup — ideal for tool servers that may be launched per-session
  • Independent servers over monolith: Each service is a separate binary — deploy, update, and debug independently
  • Strict protocol conformance: Pass MCP protocol test suites to ensure compatibility with any MCP client

Outcome

Multiple production MCP servers available as open-source Go binaries. Used to connect AI agents to real productivity tools and home automation systems.

Stack

Go, MCP Protocol, REST APIs, OAuth 2.0

Go MCP AI/LLM API Integration Open Source
Authors
Roy Gabriel
DevOps Architect · Applied AI Engineer
I’ve spent 20 years building systems across embedded firmware, security platforms, fintech, and enterprise architecture. Today I focus on production AI systems in Go — multi-agent orchestration, MCP server ecosystems, and the DevOps platforms that keep them running. I care about systems that work under pressure: observable, recoverable, and built to last.