Gemini MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GEMINI_API_KEY | Yes | Your Google Gemini 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 |
|---|---|
| generate_textD | – |
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
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'generate_text' has a distinct purpose by default.
A single tool inherently has perfect naming consistency, as there are no other tools to compare it against. The name 'generate_text' follows a clear verb_noun pattern.
One tool is too few for a server named 'Gemini MCP Server', which suggests a broader scope like interacting with Gemini AI services. A single text generation tool feels thin and incomplete for such a domain.
The server is severely incomplete for its implied purpose. With only a text generation tool, it lacks essential operations like chat interactions, model selection, or other AI functionalities expected from a Gemini server, leading to significant gaps.