mcp-go brings the Model Context Protocol to the Go ecosystem, enabling developers to build high-performance MCP servers and clients using Go's concurrency primitives and deployment simplicity. While the official MCP SDKs focus on Python and TypeScript, many infrastructure tools, CLI utilities, and backend services that would benefit from MCP integration are written in Go. mcp-go provides idiomatic Go interfaces for all MCP capabilities including tool registration with typed parameter schemas, resource exposure with template URI patterns, prompt template management, and both stdio and server-sent event transport protocols.
The server SDK makes it straightforward to expose existing Go functionality as MCP tools. A Kubernetes management tool, for example, can register tools for listing pods, describing deployments, and scaling replicas, making these capabilities available to any MCP-compatible AI assistant. The client SDK enables Go applications to discover and invoke tools from remote MCP servers, useful for building agent orchestrators or CLI tools that aggregate capabilities from multiple MCP servers. The library handles protocol negotiation, capability advertisement, and connection lifecycle management transparently.
With over 8,000 GitHub stars, mcp-go has become the de facto MCP implementation for the Go community. Its adoption is driven by the large number of DevOps and infrastructure tools written in Go — from Kubernetes operators to CLI utilities to cloud platform SDKs — that represent natural candidates for MCP integration. The library's focus on correctness and performance aligns with Go's ecosystem values, providing a production-ready foundation for teams extending their Go tooling with AI-accessible interfaces.