The Model Context Protocol (MCP) is the most important infrastructure development in AI agents since the LLM itself. Here is what it is, why it was built, and why it changes how agents are developed.
The Problem MCP Solves
Before MCP, connecting an AI agent to an external tool meant writing custom integration code for every LLM-tool combination. Want Claude to read your database? Write a custom tool. Want GPT-4 to read the same database? Write another custom tool. With 10 tools and 3 LLMs, you are writing 30 integrations. It does not scale.
What MCP Does
MCP defines a universal interface between AI models and external systems. You write a tool as an MCP server once. Any MCP-compatible AI client can use it. Think of it like USB for AI tools — one standard port that works with everything.
Three Primitives
Tools: Functions the AI can call — search, database queries, email senders. The AI decides when to call them based on the task.
Resources: Data sources the AI can read on demand — documents, database records, live API responses.
Prompts: Reusable prompt templates that can be invoked by name, useful for standardising common task types.
How the Connection Works
An MCP server exposes its tools and resources over a standard transport layer (stdio for local, HTTP/SSE for remote). The AI client connects at startup, discovers what tools are available, and calls them during a conversation or agent run.
Why It Matters for AI Agent Development
Reusability: Build your CRM integration as an MCP server. Every agent in your organisation can use it — regardless of LLM or framework.
Security: MCP servers can enforce authentication, rate limits, and access controls independently of the AI client. Your database credentials never touch the LLM layer.
Ecosystem: There is a growing library of pre-built MCP servers for GitHub, Slack, Notion, Google Drive, PostgreSQL, and Jira. Add them to any MCP-compatible agent in minutes.
MCP-Compatible Clients in 2026
Claude Desktop, Claude Code, LangGraph, the Claude Agent SDK, and Cursor all support MCP. Anthropic has open-sourced the specification so the ecosystem is expanding rapidly.
Want to connect your business systems to AI agents via MCP? Power Digital builds MCP server integrations for Singapore businesses.
