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Official MCP Servers

Reference MCP server implementations and examples for connecting AI clients to common external systems.

Resource overview Use as a reference when designing custom connectors for company systems. Review security and permission boundaries before adapting any server.

Why use this

What it helps you do

Use this to connect AI clients to tools, files, databases, and internal systems through a reusable protocol instead of one-off integrations.

Who can use this

Best fit users

AI platform engineers, internal tooling teams, automation builders, and companies creating connected AI workstations.

Prerequisites

What to know first

Understanding of client-server architecture, permissions, local or remote tool execution, and the security boundary around connected systems.

System requirements

Environment needed

An MCP-compatible client, one or more MCP servers, Node/Python or another supported server runtime, and access credentials for connected tools or data sources.

Community

Signals and discussion

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