# Tech Trends: Hacker News & GitHub Radar (MCP Server) (`unrivaled_fortress/tech-trends-hacker-news-github-mcp`) Actor

Real-time tech radar for AI coding agents. Extract trending developer topics, discussions on Hacker News, and breakout GitHub repos in sub-second response times.

- **URL**: https://apify.com/unrivaled\_fortress/tech-trends-hacker-news-github-mcp.md
- **Developed by:** [David A](https://apify.com/unrivaled_fortress) (community)
- **Categories:** AI, Developer tools, News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## ⚡ Tech Trends: Hacker News & GitHub Radar (MCP Server)

Real-time developer intelligence engine for AI coding agents, Cursor, Windsurf, and Claude Desktop. Discover breakout open-source repositories and high-signal community discussions on Hacker News in under a second.

***

### 🤖 Model Context Protocol (MCP) Integration

Connect directly into **Claude Desktop**, **Cursor**, or **Windsurf** using Apify's hosted MCP server (`mcp.apify.com`):

```json
{
  "mcpServers": {
    "apify": {
      "command": "npx",
      "args": ["-y", "@apify/actors-mcp-server"],
      "env": {
        "APIFY_TOKEN": "YOUR_APIFY_API_TOKEN"
      }
    }
  }
}
```

Once connected, your AI assistant can execute prompts like:

> *"What are developers saying about Anthropic MCP and DeepSeek on Hacker News today, and what new GitHub repos are trending?"*

***

### 🎯 Key Use Cases

1. **AI Agent Tool Grounding**: Gives Claude/Cursor real-time grounding on the newest software releases and community sentiments.
2. **VC & Tech Market Intelligence**: Track viral open-source projects before they reach mainstream notice.
3. **Automated Tech Newsletters & Summaries**: Power autonomous content pipelines with curated developer news.

***

### ⚙️ Input Parameters

| Field | Type | Default | Description |
|---|---|---|---|
| `topic` | String | `"AI Agent"` | Search term or technology (e.g. `Rust`, `LLM`, `MCP`). Leave empty for front page. |
| `includeHackerNews` | Boolean | `true` | Fetch stories, point scores, and comments from Hacker News. |
| `includeGitHubTrending` | Boolean | `true` | Fetch trending GitHub repositories matching the topic. |
| `maxResults` | Integer | `10` | Number of results to retrieve per source. |

***

### 📊 Output Dataset Format

- `source`: `HACKER_NEWS` or `GITHUB_REPO`
- `title`: Article headline or repository `owner/name`
- `url`: Direct link to project or article
- `discussionUrl`: Direct link to Hacker News community thread
- `points` / `stars`: Community validation metrics
- `commentsCount` / `forks`: Discussion and developer adoption signals
- `createdAt` / `updatedAt`: Freshness timestamp

***

### ⭐️ Feedback & Support

If this tool empowers your coding agents or tech research, please leave a ⭐️⭐️⭐️⭐️⭐️ review on the Apify Store!

# Actor input Schema

## `topic` (type: `string`):

Tech keyword, framework, or topic to search for (e.g. 'LLM', 'Rust', 'MCP', 'Agent'). Leave empty to get today's front page top discussions.

## `includeHackerNews` (type: `boolean`):

Fetch top stories, point scores, and comments from Hacker News.

## `includeGitHubTrending` (type: `boolean`):

Fetch breakout GitHub repositories matching the topic.

## `maxResults` (type: `integer`):

Maximum number of items to return per source.

## Actor input object example

```json
{
  "topic": "AI Agent",
  "includeHackerNews": true,
  "includeGitHubTrending": true,
  "maxResults": 10
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {
    "topic": "AI Agent"
};

// Run the Actor and wait for it to finish
const run = await client.actor("unrivaled_fortress/tech-trends-hacker-news-github-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 = { "topic": "AI Agent" }

# Run the Actor and wait for it to finish
run = client.actor("unrivaled_fortress/tech-trends-hacker-news-github-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 '{
  "topic": "AI Agent"
}' |
apify call unrivaled_fortress/tech-trends-hacker-news-github-mcp --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,unrivaled_fortress/tech-trends-hacker-news-github-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/dGl8DoJDnfEOLIcaV/builds/HrwGSXxaZKnzCHwzR/openapi.json