official-mcp-servers: A curated directory of 390+ official MCP servers from the companies behind the products

by VoltAgent · MCP Server · ★ 379

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

Security audit verdict: SAFE · quality 57/100

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.

ai-toolsawesome-listclaudeclaude-codecodexcursormcpmcp-servermcp-serversmodel-context-protocol

Quick Facts

Stars379
Forks78
CategoryMCP Server
LicenseMIT
Quality Score57/100
Last Updated2026-10-23
Created2026-10-01
Platformsclaude-code, codex, mcp
Est. Tokens~26k

About official-mcp-servers

Official MCP Servers The curated directory of official MCP servers. No unofficial forks, no abandoned projects, just servers you can trust. What is MCP? The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to external tools and data.

Compatible Skills

These tools work well together with official-mcp-servers for enhanced workflows:

official-mcp-servers alternative? Top 6 similar tools

Looking for a official-mcp-servers alternative? If you're comparing official-mcp-servers with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • memorix by AVIDS2 · ⭐ 857

    Open-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Wi

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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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