Make Your REST API Callable by Claude: A Practical MCP Primer
The article explains how to make a REST API accessible to AI agents like Claude by using the Model Context Protocol (MCP), which allows APIs to be exposed as callable functions rather than just documented endpoints. Unlike OpenAPI, which describes HTTP interfaces, MCP handles authentication, request formatting, and response parsing on the server side, enabling more efficient and secure interactions. The guide outlines key design decisions for implementing MCP effectively without overhauling existing backends.
- ▪MCP enables AI agents to directly call API functions like create_customer instead of manually constructing HTTP requests.
- ▪An MCP server exposes tools, resources, and prompts, with tools and resources covering most use cases.
- ▪Proper tool granularity, clear operational descriptions, readable error messages, and selective exposure of endpoints are critical for effective MCP implementation.
- ▪MCP keeps authentication secrets on the server and reduces token usage by minimizing the model's need to reason about HTTP details.
- ▪The same MCP server can be used across multiple platforms including Claude Desktop, Cursor, Continue, and Zed.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3922774) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Mean for APIKumo Posted on May 17 Make Your REST API Callable by Claude: A Practical MCP Primer #ai #mcp #api #webdev Make Your REST API Callable by Claude: A Practical MCP Primer Most APIs in 2026 still ship the same artifacts they shipped in 2016: an OpenAPI spec, a SwaggerUI page, maybe a Postman collection if the team is feeling generous. Those are great for humans.
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