MCP News Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| NEWS_API_KEY | Yes | News API Key from https://newsapi.org/ | |
| OPENAI_API_KEY | Yes | OpenAI API Key from https://platform.openai.com/ used for summarization and translation |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_top_headlinesA | Fetch the top 10 US news headlines from today. Returns headline, source, and publication time. |
| get_news_detailsB | Get detailed information about a specific news article including full description and URL. |
| summarize_newsC | Summarize a news article using AI. Provides a concise summary of the content. |
| translate_to_koreanC | Translate English news text to Korean with high quality translation. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: get_news_details retrieves article metadata, get_top_headlines fetches headlines, summarize_news generates summaries, and translate_to_korean handles translation. There is no functional overlap between these tools, making misselection unlikely.
Three tools follow a consistent verb_noun pattern (get_news_details, get_top_headlines, summarize_news), but translate_to_korean uses a verb_preposition_noun structure. This minor deviation slightly breaks the pattern but remains readable and understandable.
With 4 tools, this server is well-scoped for a news-focused purpose. Each tool serves a distinct and valuable function (fetching, summarizing, translating), and the count is appropriate without being too sparse or bloated for the domain.
The server covers core news consumption tasks (fetching headlines, getting details, summarizing, translating), but lacks CRUD operations for managing news sources or user preferences. While agents can work with the provided tools, there are notable gaps for a full news workflow, such as searching or filtering news.