ai.thinkpattern/news MCP Server
The ai.thinkpattern/news MCP server provides grounded, attributed news. Its description focuses on recording what happened, which outlets reported it, and how many covered it, emphasizing traceability to reporting sources rather than uncredited summaries.
🛠️ Key Features
- Grounded news reporting
- Attribution to specific outlets
- Coverage count (how many outlets covered it)
- Includes “what happened” context
🚀 Use Cases
- Determine which outlets reported a specific event
- Compare event coverage breadth using outlet counts
- Summarize events with source attribution
⚡ Developer Benefits
- Structured, attributable event information (event + outlets + coverage count)
- Supports workflows that need citation-like outlet references
⚠️ Limitations
- Available source information only describes output scope (event, outlets, coverage count); no details provided about tools, APIs, formats, or query mechanisms.