MCP Server Architecture for AI Agents: Connecting LLMs to Enterprise Data (2026)
Model Context Protocol (MCP) is the open standard for giving AI agents secure, typed access to databases, internal APIs, and file systems. How to design and deploy custom MCP servers.
What is MCP and Why It Standardizes AI Tool Interfaces
Before MCP, every AI integration required custom glue code between the LLM prompt layer and external databases. Model Context Protocol standardizes resources, prompts, and tool declarations over JSON-RPC 2.0 transport.
Security Controls in Custom MCP Servers
Because an MCP server exposes internal capability endpoints, security demands strict token scoping, input payload sanitization, and query execution sandboxing.
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