# NewsMCP Server (`newsmcp/newsmcp-server`) Actor

Live world news deduplicated into story events, with corroboration counts and source links, served over MCP.

- **URL**: https://apify.com/newsmcp/newsmcp-server.md
- **Developed by:** [NewsMCP](https://apify.com/newsmcp) (community)
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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

## NewsMCP Server

### What does NewsMCP Server do?

**NewsMCP Server** gives AI agents and MCP clients **live world news deduplicated into story events** — one entry per real-world story rather than a flat list of near-identical articles. Each story event carries a generated headline, one-liner, abstract, key actors, industry and event-type labels, **corroboration counts** (how many independent newsrooms carried it), and links back to the original sources.

It runs as a [Model Context Protocol](https://modelcontextprotocol.io) (MCP) server on the Apify platform using Actor Standby, so it is always ready — no infrastructure to run, authenticated with your Apify API token, and usable from Claude, Cursor, VS Code, or any other MCP client. Learn more at [newsmcp.com](https://newsmcp.com).

### Why use NewsMCP Server?

- **Deduplicated stories, not article noise** — hundreds of reprints collapse into one story event with a corroboration count.
- **Verification built in** — ask "how widely is this reported?" and get independent-newsroom counts, separate from domain reprints.
- **Agent-ready** — structured JSON output designed for LLM consumption, with source links for citation.
- **Zero setup** — connect via streamable HTTP with your Apify token; no separate account needed to get started.

### How to use NewsMCP Server

1. Add the server to your MCP client configuration:

   ```json
   {
       "mcpServers": {
           "newsmcp": {
               "url": "https://<your-username>--newsmcp-server.apify.actor/mcp",
               "headers": {
                   "Authorization": "Bearer <YOUR_APIFY_API_TOKEN>"
               }
           }
       }
   }
   ```

2. Restart or reload your MCP client.

3. Ask your agent something like *"What's happening with Tesla this week?"* or *"How widely reported is this claim?"*

### Tools

| Tool | What it does |
|------|--------------|
| `news` | Search live story events by topic, keyword, or named subject (company, person, place). |
| `get_story` | Fetch the full detail of one story event already seen in results. |
| `check_coverage` | Report how many independent newsrooms carried a claim — for verification. |

### Output

Tool results are structured JSON story events, for example:

```json
{
    "headline": "Example Corp announces acquisition of Sample Inc",
    "one_liner": "The $2B deal expands Example Corp's cloud portfolio.",
    "actors": ["Example Corp", "Sample Inc"],
    "industry": "Technology",
    "event_type": "M&A",
    "corroboration": { "newsrooms": 14, "domains": 87 },
    "sources": ["https://example-news.com/article"]
}
```

### Pricing

This Actor is priced to be effectively free: a tiny flat fee per tool call (see the Pricing tab for current rates). Typical agent sessions cost fractions of a cent.

Prefer a classic Actor with an input form and a dataset output? Use the companion Actors: [news](https://apify.com/newsmcp/news), [get-story](https://apify.com/newsmcp/get-story), and [check-coverage](https://apify.com/newsmcp/check-coverage).

### FAQ and support

- **Where does the news come from?** Aggregated from live newsroom output worldwide; every story event links to its original sources.
- **Do I need a NewsMCP API key?** No — the Actor works out of the box. Higher rate limits are available via [newsmcp.com](https://newsmcp.com).
- **Found a problem?** Please open an issue on the Actor's Issues tab and we'll take a look.

# Actor input Schema

## Actor input object example

```json
{}
```

# Actor output Schema

# 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("newsmcp/newsmcp-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

```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("newsmcp/newsmcp-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

```bash
echo '{}' |
apify call newsmcp/newsmcp-server --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,newsmcp/newsmcp-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/CW3quo083BrlVeeBo/builds/Hu4RZgyysC6KJOEmF/openapi.json
