What MCP solves
MCP gives AI models a standard protocol to reach enterprise tools and data.
Instead of building one-off integrations, you stand up an MCP server once — multiple models and clients connect via the same protocol.
MCP server patterns
An MCP server exposes 'tools' and 'resources' for a given system (database, filesystem, API, Slack).
Claude Desktop, Claude Code and other MCP-compatible clients can share the same MCP server — a big productivity win for internal AI tools.
Enterprise MCP strategy
Security: MCP servers must enforce auth and scope. Otherwise the model reaches data the user shouldn't see.
Scale: MCP servers are typically shared infrastructure — platform teams run them so product teams don't reinvent integrations.
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