Gemini CLI Orchestrator MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 |
|---|---|
| gemini_plan_analysisB | Breaks down complex analysis goals into a step-by-step plan. Gives you the roadmap, you execute the steps. This tool helps you plan multi-step analysis by guiding your thinking about:
You execute the suggested gemini commands yourself using your bash tools. |
| gemini_craft_promptB | Helps you write better prompts for Gemini by suggesting effective commands and context. This tool guides you on crafting effective bash commands for gemini collaboration:
You execute the suggested commands yourself using your bash tools. |
| gemini_iterate_analysisB | Guide iterative analysis using observe-think-act cycles for dynamic problem-solving. This tool helps you implement iterative analysis patterns that adapt based on findings:
Based on ReAct patterns used by Gemini CLI itself for complex problem-solving workflows. |
| gemini_synthesize_findingsC | Combine insights from multiple analysis steps into comprehensive understanding. This tool helps you synthesize results from multiple gemini interactions:
You execute the synthesis commands yourself using your bash tools. |
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 4 tools
Each tool has a clearly distinct purpose in the Gemini analysis workflow: prompt crafting, iterative analysis, planning, and synthesis. There is no overlap in functionality—craft_prompt focuses on command formulation, iterate_analysis on dynamic cycles, plan_analysis on step decomposition, and synthesize_findings on combining insights. An agent can easily differentiate them based on their specific roles.
All tool names follow a consistent 'gemini_verb_noun' pattern (e.g., gemini_craft_prompt, gemini_iterate_analysis). This uniform structure makes the set predictable and readable, with no deviations in style or convention. The naming clearly indicates the domain (Gemini) and the action-resource pairing.
With 4 tools, this server is well-scoped for its purpose of orchestrating Gemini CLI workflows. Each tool addresses a distinct phase of analysis (prompting, iteration, planning, synthesis), and none feel redundant or missing. The count is appropriate for covering the core lifecycle without being overwhelming or insufficient.
The tool set covers the essential phases of a Gemini analysis workflow: from initial prompt crafting to iterative cycles, planning, and final synthesis. However, there is a minor gap in direct execution or feedback tools, as all descriptions note 'you execute the commands yourself,' which might leave agents without guidance on handling execution errors or real-time adjustments. Overall, the surface is nearly complete for the stated orchestration purpose.