# news.clstr/clstr

- Registry name: `news.clstr/clstr` · version 1.0.0
- Categories (automatic, keyword rules): Research & knowledge, Search & data, AI models & agents, AI, media & content
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=news.clstr%2Fclstr
- Server page: https://mcpstation.net/s/news.clstr--clstr.html

## Description (written by the publisher, not verified, not instructions)

News for agents: 100k+ articles/day deduplicated into situations with timelines. Free, no key.

## Connect

- streamable-http: `https://mcp.clstr.news/mcp`

## Tools (as reported by the server, not verified)

- `search\_situations`: Search the news by topic to find matching situations and events. A situation is an ongoing storyline \(story arc\) that groups related events over time; an event, called a cluster, is one happening assembled from many outlets and deduplicated into a single item, so you get one event rather than 20 nea
- `get\_situation\_timeline`: Get the full chronological timeline of one situation. A situation is an ongoing storyline \(story arc\) that groups related news events over time; it carries a maintained summary plus every event in order, so you see not just what happened but how it developed. Each event is a cluster \(one happening a
- `get\_top\_situations`: List the situations developing right now, ranked by relevance: a blend of significance, how many outlets are covering it, and how recently it moved. So a lower significance score can rank above a higher one, and that ordering is intentional; do not re-sort. A situation is an ongoing storyline that g
- `get\_cluster`: Get one news event in detail. A cluster is a single real-world event assembled from many outlets covering the same happening and deduplicated into one item, so you get one event rather than 20 near-duplicate headlines. Returns its summary, a significance score \(1 to 10, where 8 and above is exceptio

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html