Model Context Protocol (MCP) is an open standard that solves the N×M integration problem between AI models and external tools by providing a common communication layer. Originally released by Anthropic in late 2024, it was adopted by OpenAI, Google, Microsoft, and others by mid-2025, then donated to the Linux Foundation in December 2025. MCP defines three capability types: Tools (actions the AI can perform), Resources (data the AI can read), and Prompts (reusable templates). Servers communicate with AI clients via stdio for local processes or HTTP/SSE for remote services. The ecosystem now includes tens of thousands of servers covering databases, developer tools, productivity apps, and infrastructure. A minimal TypeScript server can be built using the official SDK in an afternoon. Security considerations include restricting filesystem paths, using read-only database connections, and auditing community servers. The 2026 roadmap focuses on multi-agent orchestration, where MCP servers can call other servers and agents can act as both clients and servers.
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The Problem Before MCPWhat MCP Actually IsHow MCP Works in PracticeThe MCP Ecosystem in 2026Real Examples of MCP in ActionBuilding Your First MCP ServerWhy MCP Becoming a Standard Actually MattersThe Security Model You Should UnderstandWhere MCP Goes from HereShould You Start Using MCP Now?ResourcesSort: