Gemini Collaboration MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GEMINI_API_KEY | Yes | Your Gemini API key obtained from Google AI Studio (https://makersuite.google.com/app/apikey) |
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 | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| consult_geminiA | Consult Gemini AI for a second opinion or advice. Use this when:
|
| collaborate_on_codeB | Collaborate with Gemini to develop code through iterative dialogue. Claude and Gemini will:
|
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: collaborate_on_code is for iterative code development through a structured collaboration process, while consult_gemini is for seeking validation, advice, or a second opinion on decisions or technical problems. There is no overlap in functionality or ambiguity between them.
Both tools follow a consistent verb_noun pattern: collaborate_on_code and consult_gemini. The naming is predictable and readable, with no deviations or mixed conventions, making it easy for agents to understand the action and target.
With only 2 tools, the server feels thin for its purpose of 'Gemini Collaboration,' which suggests a broader scope involving code development and consultation. While the tools are well-defined, the count is too low to provide comprehensive coverage for collaboration workflows, lacking tools for specific actions like reviewing code, managing iterations, or handling feedback loops.
The server has significant gaps in its tool surface for collaboration. It lacks tools for key operations such as reviewing or editing code independently, managing project states, or handling iterative feedback beyond the initial collaboration. This incomplete coverage will likely cause agent failures when trying to perform nuanced or multi-step collaboration tasks.