apinoa

apinoa-mcp

An MCP server for apinoa. It gives Claude Code, Codex, Cursor and any other MCP client live product data from Amazon, Walmart, Shopify, TikTok Shop and AliExpress; posts, profiles and comments from TikTok, YouTube, Instagram, Threads, X, Reddit and LinkedIn; search results from Google, Bing, Naver and 13 more search engines; AI answers from ChatGPT, Gemini, Google AI Overviews, Google AI Mode and Naver; and image translation. Use it instead of writing a scraper.

Ask things like "which of @duolingo's last 30 TikToks got 3x its usual views", "compare the cheapest Stanley 40 oz on Amazon and Walmart", "where does example.com rank on Google for 'trail running shoes'", "does ChatGPT mention our brand when asked for the best running shoes" or "translate the text on this product photo into Korean".

Setup

Create a key under Dashboard > API keys at apinoa.com. Calls are billed to it at the API's normal rates; a call that fails is not billed.

Get a key from the terminal

npx apinoa-mcp login

It prints a code and opens an apinoa page in your browser, where you sign in and enter the code. The new key is saved to .env in the current folder as APINOA_API_KEY (--out <path> writes it to another file, --no-browser only prints the address). It expires after 90 days and is listed under Dashboard > API keys, where you can revoke it. Give it to your client as below.

Claude Code

claude mcp add apinoa -e APINOA_API_KEY=your_key -- npx -y apinoa-mcp

Codex

codex mcp add apinoa --env APINOA_API_KEY=your_key -- npx -y apinoa-mcp

or in ~/.codex/config.toml:

[mcp_servers.apinoa]command = "npx"args = ["-y", "apinoa-mcp"]env = { APINOA_API_KEY = "your_key" }

Claude Desktop, Cursor, Windsurf and others — add to the client's MCP configuration (claude_desktop_config.json, .cursor/mcp.json, …):

{  "mcpServers": {    "apinoa": {      "command": "npx",      "args": ["-y", "apinoa-mcp"],      "env": { "APINOA_API_KEY": "your_key" }    }  }}

Requires Node.js 20 or later. The package installs Deno, which runs the model's code.

Tools

Instead of one tool call per API call, the model writes a short program. Fanning out over 50 accounts, following pages, filtering and averaging happen in the code, and only the answer comes back into the conversation:

const page = await apinoa.tiktok.posts({ username: "duolingo", limit: 30 });const views = page.items.map((p) => p.metrics?.views ?? 0).sort((a, b) => a - b);const median = views[Math.floor(views.length / 2)];return page.items.filter((p) => (p.metrics?.views ?? 0) >= 3 * median).map((p) => p.url);

Inside execute:

• apinoa.<platform>.<operation>(params): one API call; returns the answer's data, throws ApinoaError (code, status) on a refusal.
• pages(op, params, { maxPages }): every item of a paged operation, following cursors.
• many(items, fn, { concurrency }): fn over every item, 8 at a time; an item that fails comes back undefined and is counted.
• store.save / load / list / saveFile: data kept on your machine between runs (videos from apinoa.tiktok.media, for example).
• usage: this run's calls and units.

The code is type-checked against the API's types before it runs, so an operation, parameter or field that does not exist fails there, before anything is billed. Each run has a budget (500 units by default, set per run with budget_units) and stops once it is spent. Answers are cached for 10 minutes, so running fixed code again costs nothing for the calls already made.

The code runs in a Deno subprocess that can reach only the apinoa API and read and write only its data folder: no other hosts, no other files, no environment variables, no programs. The API key never enters the code; the sandbox adds it to each request.

The platforms, operations and parameters are read from the live API catalog when the server starts, so a platform added to apinoa appears without updating this package.

The tool set

APINOA_MCP_MODE=tools serves the 0.1 tools instead: one tool per kind of read (search_products, get_product, list_social_posts, get_social_comments, call_apinoa, list_platforms, …), one API call per tool call. The server falls back to it by itself where Deno cannot run. An answer over 100,000 characters keeps as many whole items as fit, with a note saying how many were left out.

Options

Use as a library

import { createApinoaServer } from "apinoa-mcp";
const server = await createApinoaServer({ apiKey: process.env.APINOA_API_KEY });// connect it to any MCP transport, e.g. Streamable HTTP

Related

• @apinoa/sdk: the TypeScript SDK
• apinoa on PyPI: the Python SDK
• API documentation
• Official MCP Registry: listed as io.github.apinoahq/apinoa-mcp

License

MIT