Gemini Agent MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GCP_LOCATION | No | Vertex AI location | global |
| GCP_PROJECT_ID | No | Your Google Cloud Project ID | |
| GOOGLE_CLOUD_PROJECT | No | Alternative environment variable for GCP_PROJECT_ID |
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 |
|---|---|
| ask_gemini_agentA | An AI agent capable of searching the web (search grounding), analyzing specific URLs, and writing/executing Python code to solve complex problems, perform data analysis, or answer research questions. |
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 risk of confusion between tools; the single tool's purpose is clearly described.
The single tool name follows a clear verb_noun pattern and is consistently styled, so no inconsistency arises.
One tool is borderline for a server that aims to provide web search, URL analysis, and code execution; typically such capabilities yield at least 3-5 tools.
The tool covers a broad range of tasks, but bundling them into one tool may hide missing operations; a more modular surface would be expected for a domain like this.