gemini-grounding-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GEMINI_MODEL | No | Modelo do Gemini | gemini-2.5-flash |
| GEMINI_API_KEY | Yes | Chave do Google AI Studio |
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
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_with_groundingA | Busca informação atual na web usando o grounding (Google Search) do Google Gemini e retorna a resposta com a lista de fontes citadas. Saída enxuta: apenas texto + fontes. |
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 1 tool
Only one tool exists, so there is no possibility of confusing it with another. Its purpose (grounded web search via Google Gemini with cited sources) is unambiguous.
The single name search_with_grounding follows a clear snake_case verb-plus-qualifier pattern that describes the operation precisely. There are no competing conventions to conflict with.
A single tool falls below the typical 3-15 range, but the server's stated scope is a single focused operation (grounded search), so one tool genuinely earns its place. A thin surface is defensible here rather than over-scoped.
For a grounding-search server, the core operation is covered end to end (query in, answer plus cited sources out). Minor gaps exist, such as a sources-only or raw-search mode and configurable result limits, but agents can work around them.