News Segmentation MCP

Count mentions in news instead of returning articles. One tool: aggregate_webz_news.

MCP endpoint

https://seg-news-mcp.webz.io/mcp

How it works

You ask who or what shows up most around a topic. The assistant calls GET /seg_api/news with q, field, and days. The reply is bucket counts, not excerpts.

Default when field is omitted: often persons and organizations (two API calls).

Connect your client

Replace YOUR_WEBZ_TOKEN with your token.

Cursor

Add this to ~/.cursor/mcp.json (%USERPROFILE%\.cursor\mcp.json on Windows) and restart Cursor:

{
  "mcpServers": {
    "webz-seg-news": {
      "url": "https://seg-news-mcp.webz.io/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_WEBZ_TOKEN"
      }
    }
  }
}

Same news token as News MCP. Setup: https://seg-news-mcp.webz.io/.

Claude Desktop

Merge the same webz-seg-news entry into your Claude Desktop config file - do not replace the whole file - then restart Claude Desktop:

Claude Code

Run in your project root:

claude mcp add --transport http webz-seg-news https://seg-news-mcp.webz.io/mcp --header "Authorization: Bearer YOUR_WEBZ_TOKEN"

n8n

Add an MCP Client Tool node and connect it to an AI Agent node's Tool input:

Create a Bearer Auth credential and paste your Webz.io API token as the bearer token. The agent receives a aggregate_webz_news tool.

Claude.ai and ChatGPT (web)

Add https://seg-news-mcp.webz.io/mcp as a custom connector (Claude.ai: Settings > Connectors; ChatGPT: Settings > Apps & Connectors with Developer mode on). Both use OAuth: leave Client ID and Secret empty, then paste your Webz token on the authorize page. Setup instructions for every client are at seg-news-mcp.webz.io.

End-to-end example

1. What you ask

In English news this week, who and which companies are mentioned most around climate policy?

2. What the assistant calls

Tool: aggregate_webz_news (twice if field lists both, or one call per field)

3. What the MCP tool returns

Query: "climate policy" language:english
Field: persons
Buckets: 100
- donald trump: 42
- greta thunberg: 28
- joe biden: 19
- ursula von der leyen: 15
- antonio guterres: 12
(... up to 10 buckets per response; use from_offset for more ...)

Query: "climate policy" language:english
Field: organizations
Buckets: 100
- european commission: 37
- united nations: 31
- exxonmobil: 22
- shell: 18
- tesla: 14

4. What you see from the assistant

For English news over the past 7 days on "climate policy", the most-mentioned people include political leaders and activists (Trump, Thunberg, Biden among the top buckets). The most-mentioned organizations include the European Commission, the UN, and several energy companies. These are mention counts, not article lists. I can pull actual articles with the News MCP if you want headlines and links.

Tool parameters (simple view)

Each field value is one credit. Comma-separated field runs multiple calls; wait 1 second between calls.

More detail

• Segmentation API
• Query syntax