Google News22 MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| API_KEY | Yes | API key for Google News22 API authentication |
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 | {
"listChanged": true
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_by_topic_headlinesC | This endpoint lets you find the most popular news article for a specific country, language, and topic (like sports or entertainment). |
| search_by_keywordC | Find articles by keywords and allows you to filter by country, language, source, and date to get specific result. |
| search_by_geolocationC | This endpoint lets you find the most popular news article in a specific geographical location. |
| search_by_top_headlinesC | This endpoint lets you find the most popular news article for a specific country, language. |
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
The tools have overlapping purposes as they all search for news articles, but descriptions help differentiate them by specifying distinct search criteria (geolocation, keyword, top headlines, topic headlines). However, there is some ambiguity between 'search_by_top_headlines' and 'search_by_topic_headlines' since both target popular articles by country and language, with the latter adding a topic filter.
All tool names follow a consistent verb_noun pattern with 'search_by_' prefix, using snake_case uniformly. This predictable naming scheme makes it easy for agents to understand and select tools based on their search parameters.
With 4 tools, the count is reasonable for a news search server, covering key search methods. It is slightly under-scoped as it lacks tools for managing or retrieving specific articles beyond searches, but the core functionality is well-represented without being overwhelming.
The server provides a focused set of search tools but has notable gaps in coverage. It lacks CRUD operations (e.g., no tools to save, list, or delete articles) and does not support retrieving detailed article information or user preferences, which limits agent workflows to basic searches without follow-up actions.