# apinoa (npm · apinoa-mcp)

Products, social posts, search results and AI answers from Amazon, TikTok, Google, ChatGPT and more.

- Trust score: 75/100 (medium)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- remote · `api.apinoa.com`: 37/100, [markdown](https://verifymcp.io/servers/apinoahq-apinoa-mcp/api.md), [page](https://verifymcp.io/servers/apinoahq-apinoa-mcp/api)
- npm · `apinoa-mcp`: 75/100 (this document), [markdown](https://verifymcp.io/servers/apinoahq-apinoa-mcp/apinoa-mcp.md), [page](https://verifymcp.io/servers/apinoahq-apinoa-mcp/apinoa-mcp)

## Channel facts

- Registry: `npm`
- Package: `apinoa-mcp`
- Version: `0.2.8`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-05.

- **Supply Chain Security**: 98/100
  - No malware found by supply-chain analysis.
  - No known CVEs affecting this package version or its production dependencies.
  - No install/post-install scripts declared.
  - 30 of 99 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 97/100
  - Source repository is publicly reachable at the declared URL.
  - Cryptographically verified build provenance (signed, bound to apinoahq/apinoa-mcp).
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 0 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 49/100
  - AI-judged instruction clarity (good).
  - Context-footprint check failed: tool/resource definitions use about 1537 tokens (~512/item across 3 items; 3 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 3/100
  - Stability observed for 1 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Tool Safety**: 75/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "execute" implies "execute" and declares readOnlyHint instead, contradicting what its own name says it does.
  - An AI judge read all 4 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### How do I install the apinoa MCP server?

apinoa runs locally as an npm package, launched with npx -y apinoa-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add apinoahq-apinoa-mcp -- npx -y apinoa-mcp
```

### Cursor

```json
{
  "mcpServers": {
    "apinoahq-apinoa-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "apinoa-mcp"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "apinoahq-apinoa-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "apinoa-mcp"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add apinoahq-apinoa-mcp -- npx -y apinoa-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "apinoahq-apinoa-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "apinoa-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add apinoahq-apinoa-mcp --command npx --arg -y --arg apinoa-mcp
```

### Hermes

```yaml
mcp_servers:
  apinoahq-apinoa-mcp:
    command: "npx"
    args: ["-y", "apinoa-mcp"]
```

### Netclaw

```json
{
  "McpServers": {
    "apinoahq-apinoa-mcp": {
      "Transport": "stdio",
      "Command": "npx",
      "Arguments": [
        "-y",
        "apinoa-mcp"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add apinoahq-apinoa-mcp -t stdio -c npx -a -y apinoa-mcp
```

### Other

```json
{
  "mcpServers": {
    "apinoahq-apinoa-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "apinoa-mcp"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-11-05 (score 75, +1)

No change was recorded against any check on this day. Stability & Change Management went from 0 to 3. That category is still filling its 30-day observation window: 0 days of observed history at the previous scan, 1 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-11-04 (score 74)

First indexed and scored.

## MCP tools (3)

### `search_docs` (~248 tokens)

Search the apinoa docs

Find how to do a task with apinoa: the matching operations as you call them in execute (e.g. apinoa.tiktok.posts({ hashtag })), every parameter, the cost per call, and the fields of what they return. Free: it calls nothing. Use it before writing code. Pass words ('tiktok hashtag videos', 'instagram reels of an account', 'amazon product reviews'), a platform, or a type name ('Post'); with neither you get the list of every operation.

Platforms: aliexpress, amazon, app-store, baidu, bing, chatgpt, daum, duckduckgo, gemini, google, google-ai-mode, google-aio, google-play, google-shopping, google-trends, instagram, linkedin, naver, naver-ai-brief, naver-ai-tab, reddit, seznam, shopify, sogou, threads, tiktok, tiktokshop, tripadvisor, walmart, x, yahoo, yahoo-japan, yandex, youtube.

Input parameters:

- `platform` (string): Only this platform's operations.
- `query` (string): What you want to do or read, in a few words, or a type name.

### `execute` (~1012 tokens)

Run code against apinoa

Run TypeScript that calls the apinoa API, and get back only what it prints or returns. Use it for every data task, from one call to thousands: fan out over accounts or posts, follow pages, then filter, count, rank and average in the code, so raw API answers never fill the conversation.

The code is the body of an async function: use await, and `return` a small result (aggregate, slice, pick the fields you need). In scope:
\- apinoa.<platform>.<operation>(params): one API call, returns the answer's data; throws ApinoaError (code, status) on a refusal. search_docs lists the parameters and the fields returned.
\- pages(op, params, { maxPages }): every item of a paged operation, following cursors (default 5 pages).
\- many(items, fn, { concurrency }): fn over every item, 8 at a time by default; a failed item comes back undefined.
\- store.save(name, value) / store.load(name) / store.list() / store.saveFile(name, base64): data kept on this machine between runs.
\- usage: { calls, units, budget } of this run.
The code is type-checked before it runs: an operation, parameter or field that does not exist fails there, before anything is billed.
Each call costs units (1 unit = $0.001, per search_docs); the run stops once budget_units are spent. Answers are cached for 10 minutes, so re-running after a fix costs nothing for calls already made. Only the API is reachable from the code.

Example:
const page = await apinoa.tiktok.posts({ hashtag: "glassskin", limit: 50 });
const authors = [...new Set(page.items.map((p) => p.author.handle))].slice(0, 10);
const recent = await many(authors, (u) => apinoa.tiktok.posts({ username: u, limit: 30 }));
return authors.map((u, i) => {
  const views = (recent[i]?.items ?? []).map((p) => p.metrics?.views ?? 0).sort((a, b) => a - b);
  return { author: u, median: views[Math.floor(views.length / 2)] ?? null };
});

Operations (call search_docs with words or a platform for parameters, costs and the fields returned):
\- apinoa.aliexpress: search, browse…

Input parameters:

- `budget_units` (integer): Most units this run may spend (default 500, at most 20000).
- `code` (string, required): TypeScript: the body of an async function. Return the result.
- `timeout_seconds` (integer): Stop the run after this long (default 300).

### `translate_image` (~123 tokens)

Translate the text in an image

Replace the text inside a product image with a translation, keeping fonts, colours and layout. Give the image as a URL. Returns the translated image.

Input parameters:

- `font` (string): A font name from supported fonts. Default Pretendard.
- `image_url` (string, required): An http(s) URL of a JPEG, PNG or WebP image.
- `source_language` (string, required): The language of the text in the image, or auto.
- `target_language` (string, required): The language to translate into, e.g. ko, en, ja, zh-CN.

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/apinoahq-apinoa-mcp/apinoa-mcp#diagnostics

## Score history

- 2026-11-05: 75
- 2026-11-04: 74

## Common questions

### What is the apinoa MCP server?

apinoa is an MCP server listed in the public MCP registry as io.github.apinoahq/apinoa-mcp. Products, social posts, search results and AI answers from Amazon, TikTok, Google, ChatGPT and more. This page covers its npm package (apinoa-mcp).

### Is the apinoa MCP server safe to use?

apinoa scores 75 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the apinoa MCP server expose?

apinoa exposes 3 tools: search_docs, execute, translate_image. Their descriptions and schemas cost roughly 1,383 tokens of context every time the server is loaded.

### Is the apinoa MCP server still maintained?

apinoa is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What licence is the apinoa MCP server under?

apinoa declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

### What did VerifyMCP test on the apinoa MCP server?

VerifyMCP ran 16 checks on apinoa, covering Malware scan, Known CVEs, Install scripts, Dependency health and 12 more. Endpoint Security and Transport & Reachability do not apply to an npm package, so they were not tested. The score does not measure everything, and the scoring documentation lists what it leaves out.

## Links

- npm package: https://www.npmjs.com/package/apinoa-mcp
- Socket report: https://socket.dev/npm/package/apinoa-mcp
- Repository: https://github.com/apinoahq/apinoa-mcp
- Website: https://apinoa.com/docs/sdks
- Changelog RSS feed: https://verifymcp.io/servers/apinoahq-apinoa-mcp/apinoa-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/apinoahq-apinoa-mcp/apinoa-mcp/changelog.json
- Trust report (JSON): https://verifymcp.io/servers/apinoahq-apinoa-mcp/apinoa-mcp.json
- HTML version of this page: https://verifymcp.io/servers/apinoahq-apinoa-mcp/apinoa-mcp