Gemini URL Context & Search MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GEMINI_API_KEY | Yes | Your Google AI Studio API key |
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| url_context_extractC | Extract content from URLs using Gemini AI and return structured JSON with pages, answer, and metadata |
| google_searchA | Search the web using Google Search grounding via Gemini API. Provides search results with sources and citations. |
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 2 tools
The two tools have clearly distinct purposes: one performs web searches, while the other extracts content from specific URLs. There is no overlap in functionality, making it easy for an agent to select the correct tool based on whether it needs general search results or URL-specific content extraction.
Both tool names follow a consistent verb_noun pattern: 'google_search' and 'url_context_extract'. The naming is clear, descriptive, and adheres to a uniform style, making the tools easily identifiable and predictable in their naming convention.
With only two tools, the server feels thin for its purpose of 'Gemini URL Context & Search'. While the tools cover search and extraction, the scope suggests potential for more operations, such as managing search history or handling multiple URLs, making the tool count insufficient for comprehensive coverage.
The tools cover basic search and URL content extraction, but there are notable gaps. For example, there's no tool for saving or managing extracted data, refining searches, or handling batch URL processing. This limits the server's ability to support more advanced workflows within its domain.