# Job Market Intelligence MCP (`kelvindesman/job-market-intelligence-mcp`) Actor

Live job-market data for AI agents: top in-demand skills, role reports and salary benchmarks from Loker Dollar. MCP server (Standby), pay per call.

- **URL**: https://apify.com/kelvindesman/job-market-intelligence-mcp.md
- **Developed by:** [Kelvin](https://apify.com/kelvindesman) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $20.00 / 1,000 market data calls

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Job Market Intelligence (MCP + API)

Live job-market data (Indonesia-first, built for global use) for AI agents and analysts: top in-demand skills, role-family reports and salary benchmarks, served as an MCP server (Apify Standby) and billed per call.

### Tools

- `get_skill_demand` — top skills across active listings
- `list_role_families` — role families with a market report
- `get_role_report` — full report for one role family
- `get_salary_benchmark` — median/IQR monthly IDR pay by role and seniority

### Connect

Add the Actor's MCP endpoint (shown on this page after you start it in Standby) to Claude, ChatGPT, Cursor or VS Code through Apify's MCP connector (`https://mcp.apify.com`). Each successful call is one pay-per-event charge on your own Apify account; failed calls are not charged.

### Data & licence

Aggregates only, no personal data. Data © Loker Dollar (lokerdollar.com), licensed to the account holder for internal use only: no resale, redistribution, model training or distillation, and no building a competing dataset (lokerdollar.com/api-terms). Attribute lokerdollar.com. Free anonymous read-only job search is available at https://mcp.lokerdollar.com.

### How it works

This Actor is a thin client. Prices and data are served by the origin API (`https://lokerdollar.com/api/v1/catalog`).

# Actor input Schema

## Actor input object example

```json
{}
```

# Actor output Schema

## `mcpEndpoint` (type: `string`):

Streamable HTTP MCP endpoint of this Actor run.

# 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("kelvindesman/job-market-intelligence-mcp").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("kelvindesman/job-market-intelligence-mcp").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 kelvindesman/job-market-intelligence-mcp --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,kelvindesman/job-market-intelligence-mcp"
        }
    }
}
```

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/8U8AX2FnxDvug6STk/builds/jpfhZ9VjIXMyQgAMJ/openapi.json