HR & Compensation MCP Server

H1B薪资数据、薪酬基准和就业市场分析

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HR Compensation MCP — Salary & H-1B Data for AI Agents (`nexgendata/hr-compensation-mcp-server`) Actor

MCP server exposing salary and H-1B disclosed-wage data as agent tools. Connect Claude, Cursor, n8n or the OpenAI Agents SDK to live compensation data.

URL: https://apify.com/nexgendata/hr-compensation-mcp-server.md
Developed by: NexGenData (community)
Categories: AI, Jobs, MCP servers
Stats: 7 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
User rating: No ratings yet

Pricing

from $50.00 / 1,000 tool 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 section below.

Each client library has reference documentation the quickstart does not restate: JavaScript/TypeScript (npm install apify-client) and Python (pip install apify-client).

README

HR Compensation MCP

A Model Context Protocol server that gives AI agents compensation data — salary benchmarks and H-1B disclosed wages — as callable tools. For HR, recruiting and market-research agents.

📊 Sample Output

This actor runs as a standby MCP server: it starts, answers tool calls at its /mcp endpoint and writes no dataset rows, so there is no row table to show. See the tool list and the sample inputs below.

🔧 Input reference

Field	Type	Default	What it does
`enableServer` (required)	boolean	`true`	Enable MCP server mode
`port`	integer	`5000`	Port for MCP server

💰 Pricing

Event	Price (USD)	When it is charged
Actor Start (`apify-actor-start`)	$5e-05	Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).
Tool call (`tool-call`)	$0.05	Per-tool invocation via MCP Standby

Pay-per-event: you pay only for what the run delivers. A run that delivers nothing bills no result events (only the actor-start event, when the actor defines one). Example: a run that delivers 100 results costs 100 × $0.05 = $5.00 plus the start fee.

🔗 Related Actors

More from the NexGenData MCP servers for AI agents family:

29 more in this family on the NexGenData Store page.

🛠 Tools (2)

search_h1b_salaries — H-1B disclosed salary records.
search_salaries — Salary data by role and location.

🔌 Connect (Claude Desktop / Cursor / n8n / OpenAI Agents SDK)

Add this MCP server to your client config:

{
  "mcpServers": {
    "hr-compensation": {
      "url": "https://nexgendata--hr-compensation-mcp-server.apify.actor/mcp"
    }
  }
}

Sample agent prompt:

Compare software-engineer salaries in Seattle against H-1B disclosed wages.

Pricing: $0.05 per tool call (Pay-Per-Event) — about 20 per $1. Actor start fee $5e-05 per run. Live prices are in the Pricing table below.

Related NexGenData MCP Servers & HR Actors

Use case	Actor
H-1B visa salary database (direct)	h1b-visa-salary-search
Finance MCP (company financials)	finance-mcp-server
News MCP (M&A, layoff signal)	news-mcp-server
Hiring signal detector	hiring-signal-detector
B2B leads finder	b2b-leads-finder

About NexGenData

NexGenData publishes a large catalog of buyer-intent actors plus a family of MCP servers for AI agent workflows. All pay-per-event. Browse the full catalog at https://apify.com/nexgendata

🏠 Home: thenextgennexus.com 📦 Full catalog: apify.com/nexgendata

Actor input Schema

Actor input object example

{}

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

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("nexgendata/hr-compensation-mcp-server").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

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("nexgendata/hr-compensation-mcp-server").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

echo '{}' |
apify call nexgendata/hr-compensation-mcp-server --silent --output-dataset

MCP server setup

{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,nexgendata/hr-compensation-mcp-server"
        }
    }
}

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/ba5IvUyUgWetvIuSz/builds/8248YnAWO7WLZwqrk/openapi.json