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MCP

MCP (Model Context Protocol) is the interface layer that lets an AI agent connect to tools and data sources in a structured way.

Why use MCP​

  • gives the model controlled access to project context
  • standardizes tool calls and responses
  • reduces ad hoc integrations
  • makes workflows easier to audit

Common MCP uses​

  • read repository files and metadata
  • run safe development commands
  • access structured references (docs, APIs, internal resources)

Interactive MCP flow​

MCP Interactive Flow

1234
1Server
2Tools
3Call
4Review
Define MCP Server

Declare the MCP server command and runtime environment.

{
  "mcpServers": {
    "repo-tools": {
      "command": "node",
      "args": ["./tools/mcp-server.js"]
    }
  }
}

Implementation note​

Start with minimal tool access, then expand permissions only when needed for workflow coverage.