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Model Context Protocol

Open standard for connecting AI applications to external systems, data sources, tools, and workflows.

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Resource overview Important for building AI workstations that connect to files, databases, SaaS tools, internal APIs, prompts, and agent skills through a reusable protocol.
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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