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mcp-go

Go implementation of the Model Context Protocol SDK

mcp-go is a Go implementation of the Model Context Protocol, providing both server and client SDKs for building MCP integrations in Go. It supports stdio and SSE transports, resource management, tool registration, and prompt templates. Designed for Go developers building MCP servers for DevOps tools, CLI applications, and backend services. Over 8,000 GitHub stars.

About mcp-go

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.

Pricing & Platform Specs

Pricing Summary

100% free and open-source under the MIT license ($0 software cost). Developed by Mark3Labs, mcp-go has no licensing fees, subscription tiers, or seat limits. It can be freely compiled, embedded, and deployed to build high-performance MCP servers and clients.

full pricing breakdown →

Supported Platforms

Go library — go get, any platform

Explore categories, tags & use cases

Categories

Apache-2.0 Python framework for building MCP servers, clients, apps, and deployable agent tool surfaces.

FastMCP is an Apache-2.0 Python framework for building MCP servers, clients, and apps with decorators, type hints, transports, auth patterns, deployment docs, and telemetry hooks. The project now resolves to PrefectHQ/fastmcp, with Prefect Horizon available as a separate enterprise MCP gateway for identity, RBAC, audit, monitoring, and server governance.

Open Source

Fullstack MCP framework connecting any LLM to MCP servers

mcp-use is an open-source framework that enables any LLM to interact with MCP servers through a unified client interface. It bridges the gap between models that lack native MCP support and the growing ecosystem of MCP tools by providing automatic tool discovery, execution management, and multi-server orchestration. Supports both direct LLM connections and agent-based workflows. Over 9,000 GitHub stars.

Open Source

Tool infrastructure for AI agents

Composio connects AI agents to 1,000+ app toolkits with managed auth, delegated user connections, sessions, tool search, MCP gateway support, CLI workflows, and sandboxed workbench execution. It targets developers building Claude, Codex, Cursor, LangChain, CrewAI, OpenAI Agents SDK, and custom agent workflows that need authenticated business actions without hand-rolling every API integration.

freemiumOpen Source

Side-by-Side Comparisons

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FastMCP
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mcp-go

FastMCP vs mcp-go — Pythonic MCP Framework vs Go SDK

FastMCP and mcp-go both help teams build Model Context Protocol servers, clients, and tool integrations, but they serve different engineering cultures. FastMCP is the faster default when a Python team wants decorators, type inference, validation, and quick iteration. mcp-go is the better fit when MCP needs to live inside Go CLIs, infrastructure services, and compiled backend systems.

FastMCPmcp-go

Community experience

Sources & verification

Sources checked
Content verified

Verification dates are editorial checks. Routine CMS saves and automatic updatedAt timestamps do not advance them.

FAQ

What is mcp-go?

mcp-go is a Go implementation of the Model Context Protocol, providing both server and client SDKs for building MCP integrations in Go. It supports stdio and SSE transports, resource management, tool registration, and prompt templates. Designed for Go developers building MCP servers for DevOps tools, CLI applications, and backend services. Over 8,000 GitHub stars.

Is mcp-go free?

Yes — mcp-go is open source and free to use. 100% free and open-source under the MIT license ($0 software cost). Developed by Mark3Labs, mcp-go has no licensing fees, subscription tiers, or seat limits. It can be freely compiled, embedded, and deployed to build high-performance MCP servers and clients.

Is mcp-go open source?

Yes — mcp-go is open source.

Is mcp-go still maintained?

Yes — mcp-go is active. Its listing was last verified on September 6, 2026.

What are the best mcp-go alternatives?

The first editor-selected mcp-go alternatives are FastMCP, mcp-use, Composio.

How does mcp-go score in our review?

The published editorial review lists mcp-go at 84/100 overall across speed, privacy, and developer experience. Check the review's evidence status and test metadata for its verification level.