apinoa
Marketplace, search engine, social media and AI-answer data as structured JSON: Amazon, Walmart, Google, TikTok, ChatGPT and more
Hosted MCP Server
npx add-mcp 'https://api.apinoa.com/mcp'Installs into Claude Code, Codex, Cursor and more
Documentation
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
| Tool | What it does |
|---|---|
search_docs | Finds the operations for a task: how to call each, every parameter, the cost, and the fields it returns. Free |
execute | Runs TypeScript the model writes against the API, and returns only what the code returns or prints |
translate_image | Replaces the text in an image with a translation; returns the image |
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'sdata, throwsApinoaError(code,status) on a refusal.pages(op, params, { maxPages }): every item of a paged operation, following cursors.many(items, fn, { concurrency }):fnover every item, 8 at a time; an item that fails comes backundefinedand is counted.store.save / load / list / saveFile: data kept on your machine between runs (videos fromapinoa.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
| Variable | Default | |
|---|---|---|
APINOA_API_KEY | — | Required for every data call. |
APINOA_BASE_URL | https://gateway.apinoa.com | |
APINOA_API_URL | https://api.apinoa.com | Where login signs in. https only (http for localhost). |
APINOA_MCP_MODE | code | tools for the 0.1 tool set. |
APINOA_MCP_DATA_DIR | ~/.apinoa-mcp | Where the cache, store and saved files live. |
APINOA_MCP_MAX_BUDGET | 20000 | The most units one run may be given. |
APINOA_MCP_CONCURRENCY | 16 | API calls in flight at once within a run. |
APINOA_MCP_CACHE_TTL_S | 600 | How long an answer is reused; 0 turns the cache off. |
APINOA_MCP_MAX_OUTPUT | 40000 | The most characters of output one run hands back to the model. |
APINOA_MCP_DENO | the bundled one | Path to another deno. |
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