Claude-to-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 |
|---|---|
| ask_geminiA | Use Gemini for large context analysis (1M tokens), architecture design, or whole codebase review. Best for tasks requiring understanding of entire projects. |
| gemini_analyze_codebaseC | Specialized tool for analyzing entire codebases. Gemini will find patterns, duplications, architectural issues, and suggest improvements. |
| generate_image_geminiB | Generate images using Gemini 2.5 Flash Image (Nano Banana). Best for contextual understanding, image editing, multi-image composition, and iterative refinement. Free tier available. |
| generate_image_imagenB | Generate images using Imagen 4. Best for photorealistic quality, high-resolution outputs, and professional branding. Paid service. |
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
The tools have overlapping purposes that could cause confusion. 'ask_gemini' and 'gemini_analyze_codebase' both target Gemini for analysis tasks, with the latter being a specialized subset of the former. The two image generation tools are clearly distinct in their use cases (Gemini for contextual/iterative work, Imagen for photorealism), but the analysis tools are not well-differentiated.
Naming conventions are inconsistent. 'ask_gemini' uses a verb-object pattern, 'gemini_analyze_codebase' uses a noun-verb-object pattern with underscores, and both image tools use 'generate_image_' prefix but with different suffixes ('gemini' vs 'imagen'). This mixed style lacks a predictable pattern.
Four tools is a reasonable count for a server bridging Claude and Gemini/Imagen services. It covers analysis and image generation without being overly sparse or bloated. However, the scope feels slightly thin given the potential breadth of interactions between these AI systems.
The server covers text analysis and image generation but has notable gaps. There are no tools for conversational interactions, file processing, or multimodal tasks beyond image generation. The domain appears to be 'Claude-to-Gemini integration,' but the surface lacks tools for common workflows like chat, document analysis, or combined text-image tasks.