MCP Server Management

Model Context Protocol — a standard protocol for connecting AI models to external context and tools

What Is MCP?

The Model Context Protocol(MCP) is an open standard released by Anthropic in 2024 that lets AI models safely interact with external data sources, tools, and services.

    flowchart LR
    A["AI model<br/>Claude / GPT"] --> B["MCP client"]
    B --> C["MCP server 1<br/>File system"]
    B --> D["MCP server 2<br/>Database"]
    B --> E["MCP server 3<br/>External API"]
    B --> F["MCP server 4<br/>Vector DB"]

    style A fill:#2563EB,stroke:#1D4ED8,color:#fff
    style B fill:#7C3AED,stroke:#6D28D9,color:#fff
    style C fill:#16A34A,stroke:#15803D,color:#fff
    style D fill:#EA580C,stroke:#C2410C,color:#fff
    style E fill:#0891B2,stroke:#0E7490,color:#fff
    style F fill:#1E3A5F,stroke:#1E3A5F,color:#fff
  

Core Components of MCP

MCP Server Configuration Example

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/docs"]
    },
    "database": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-postgres"],
      "env": {
        "DATABASE_URL": "postgresql://..."
      }
    }
  }
}

MCP Management Considerations from an Infrastructure Perspective

• Security: restrict the resources an MCP server can access using the principle of least privilege
• Availability: assess the impact on AI workflows if an MCP server goes down
• Performance: monitor how tool-call latency affects overall response time
• Version management: maintain backward compatibility when an MCP server’s schema changes