{
  "slug": "mcp-practical",
  "url": "https://aicode8.com/mcp-practical/",
  "title": "MCP in practice: build an MCP Server for your docs or API",
  "description": "From zero to a working MCP server for your docs and API: stdio and SSE transport, least-privilege scopes, and auth.",
  "keyword": "MCP in practice",
  "summary": "MCP (Model Context Protocol) is an open standard released in 2024 that lets large models connect to tools and data sources through a single protocol. Three steps to a working setup: (1) choose a transport — stdio locally, SSE/HTTP with Bearer auth remotely; (2) build a least-privilege Server with read-only scope; (3) register the endpoint in llms.txt. Bottom line up front: an Agent can read your docs without crawling the entire site, provided the endpoint is read-only and properly authenticated. Common pitfalls are mixing stdio and SSE, and over-broad scopes that get misused.",
  "category": {
    "key": "agent-ai-optimization",
    "slug": "agent-ai-optimization",
    "label": "AI Agents"
  },
  "updatedAt": "2026-09-10",
  "faqs": [
    {
      "q": "How is MCP different from a regular API?",
      "a": "MCP is a standardized protocol — agents discover and call tools through one set of primitives. A regular API needs per-endpoint adaptation."
    },
    {
      "q": "Is it safe to expose MCP on the public internet?",
      "a": "Only with Bearer auth and a scope minimized to read-only — otherwise you are effectively shipping your source code naked."
    }
  ],
  "generatedBy": "https://aicode8.com/llms-full.json"
}