# MCP & AI Tool Integration Auditor (`wintry_nutmeg/agent-integration-auditor`) Actor

Audit APIs, MCP servers, x402 services, Chrome extensions, GitHub repositories, and Apify Actors for agent integration readiness.

- **URL**: https://apify.com/wintry\_nutmeg/agent-integration-auditor.md
- **Developed by:** [Dries Vd](https://apify.com/wintry_nutmeg) (community)
- **Categories:** Developer tools, AI, MCP servers
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$50.00 / 1,000 agent integration audits

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Agent Tool Integration Readiness Auditor

A machine-to-machine product for agents evaluating another public tool before integration or purchase.

Submit up to 10 public API URLs, MCP servers, x402 services, Chrome Web Store extension IDs, GitHub repositories, or Apify Actor URLs. Each successful audit returns deterministic JSON with a compatibility score, detected capabilities, evidence-backed gaps, limitations, and ordered next actions.

### Pricing

Pay Per Event: **$0.25 per successfully completed `integration-audit`**. Invalid targets and internal failures are returned without charging the audit event. Users do not pay separate Apify platform usage costs.

### Safety boundary

This Actor inspects public metadata only. It does not install browser extensions, execute unknown repository code, bypass authentication, scrape private accounts, or certify security. Chrome extensions require a public source repository or manifest URL for deeper inspection.

### Output contract

Key fields: `target`, `targetType`, `compatibilityScore`, `capabilities`, `gaps`, `nextActions`, `evidence`, `limitations`, and `checkedAt`.

# Actor input Schema

## `targets` (type: `array`):

Up to 10 public URLs, Chrome Web Store extension IDs, GitHub repositories, Apify Actors, APIs, or agent services.

## `maxTargets` (type: `integer`):

Hard runtime and spending guardrail.

## Actor input object example

```json
{
  "targets": [
    "https://agent-revenue-auditor.vandurmedries.workers.dev"
  ],
  "maxTargets": 5
}
```

# Actor output Schema

## `audits` (type: `string`):

Machine-readable capability, compatibility, evidence, and next-action records.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("wintry_nutmeg/agent-integration-auditor").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("wintry_nutmeg/agent-integration-auditor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call wintry_nutmeg/agent-integration-auditor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,wintry_nutmeg/agent-integration-auditor"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/MyILAfQDe4vtT3IKJ/builds/hDGWGc04cLmGuqSyB/openapi.json