MCP Proxy: Add MCP Support to Any REST API Without Code Changes

MCP Proxy: Add MCP Support to Any REST API Without Code Changes

An mcp rest api bridge works by reading your API’s OpenAPI spec at runtime and translating each operation into an MCP tool. You keep the REST API exactly as it is, add a proxy or gateway in front of it, and point your agent at the MCP endpoint. Nothing in the backend is rewritten or redeployed. That is the short answer, and it is genuinely accurate — with one important caveat that the marketing pages bury. “No code changes” describes the API, not the project. You still own a configuration surface, an authentication decision, and a curation judgment call. The teams that get burned are the ones who treat auto-conversion as the finished deliverable instead of step one. ...

October 1, 2026 · 15 min · baeseokjae
Agent CodeMode MCP: Let Coding-Agent Scripts Call Your MCP Servers

Agent CodeMode MCP: Let Coding-Agent Scripts Call Your MCP Servers

Agent CodeMode MCP means letting the script your coding agent writes call the MCP servers your agent has already authenticated. Instead of the model making forty tool calls one at a time, it writes one script; the credential your agent minted is reused from disk. Measured: 40 calls and 262,159 characters become 1 script and 903 characters. What is Agent CodeMode, and why does it exist? Code Mode is the pattern where an LLM writes code that calls tools, instead of calling each tool through the model’s native tool-calling interface. Cloudflare’s Kenton Varda and Sunil Pai named it in September 2025 with a thesis that reads as obvious once you see it: LLMs are better at writing code to call MCP than at calling MCP directly. Anthropic published the same architecture as vendor guidance on November 4, 2025 in Code execution with MCP. The reasoning is about training data: models have seen a very large volume of real TypeScript, and comparatively little synthetic JSON tool-schema blobs. ...

October 1, 2026 · 16 min · baeseokjae
Vercel AI SDK Guide 2026: Build Streaming AI Apps in TypeScript With One SDK

Vercel AI SDK Guide 2026: Build Streaming AI Apps in TypeScript With One SDK

The Vercel AI SDK is a unified TypeScript library that lets you build streaming AI applications across OpenAI, Anthropic, Google, and 13+ other providers without rewriting your core logic when you switch models. Install it once, pick your provider, and ship production-ready AI features in hours instead of days. What Is the Vercel AI SDK and Why It Matters in 2026 The Vercel AI SDK is an open-source TypeScript toolkit for building AI-powered web applications with a provider-agnostic API, first-class streaming support, and framework-native UI hooks. As of April 2026, it has 11.5 million weekly npm downloads, 23.7K GitHub stars, and 614+ contributors — making it the most widely adopted TypeScript AI library for web developers. The SDK is organized into three layers: AI SDK Core handles server-side text generation, object generation, and tool calling; AI SDK UI provides React/Vue/Svelte hooks like useChat and useCompletion for building chat interfaces without managing stream state; and AI SDK RSC integrates with React Server Components for edge-compatible generative UI. The SDK supports 100+ LLM models across 16+ providers via the Vercel AI Gateway, including OpenAI GPT-4o, Anthropic Claude, Google Gemini, and open models on Together/Groq. In 2026 Vercel added three major features on top: Workflows (long-running durable agents), Sandbox (secure agent code execution), and AI Elements (prebuilt UI components). OpenCode — one of the most popular open-source coding agents — is built entirely on AI SDK, which validates its production-grade viability. ...

April 22, 2026 · 16 min · baeseokjae