go-sdk: The official Go SDK for Model Context Protocol servers and clients. Maintained in collaboration with Google

by modelcontextprotocol · MCP Server · ★ 5.3k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 66/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

gomcp

Quick Facts

Stars5,318
Forks613
LanguageGo
CategoryMCP Server
Quality Score66/100
Open Issues77
Last Updated2026-11-06
Created2025-04-23
Platformsgo, mcp
Est. Tokens~16k

About go-sdk

MCP Go SDK This repository contains an implementation of the official Go software development kit (SDK) for the Model Context Protocol (MCP). Package / Feature documentation The SDK consists of several importable packages: The package defines the primary APIs for constructing and using MCP clients and servers. The package is for users implementing their own transports.

Compatible Skills

These tools work well together with go-sdk for enhanced workflows:

  • mcp-golang — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
  • mcptools — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)
  • fastmcp — semantic(0.30)+complementary+similar_pop+shared_platform (51%)
  • google_workspace_mcp — semantic(0.26)+complementary+similar_pop+shared_platform (49%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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