Gemini MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GEMINI_API_KEY | No | Your Google AI Studio API key (optional if using CLI backend) |
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 |
|---|---|
| analyze_pdfC | PDF 문서를 분석합니다. URL 또는 로컬 파일 경로를 지원합니다. |
| analyze_imageC | 이미지를 분석합니다. 스크린샷, 차트, 다이어그램, 사진 등을 지원합니다. (JPEG, PNG, GIF, WebP) |
| generate_textB | 텍스트를 생성합니다. 요약, 번역, 창작 등에 활용할 수 있습니다. |
| analyze_codeB | 코드를 분석합니다. 리뷰(review), 설명(explain), 개선(improve) 중 선택할 수 있습니다. |
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 based on the input type: analyze_code for code, analyze_image for images, analyze_pdf for PDFs, and generate_text for text generation. There is no overlap in functionality, making it easy for an agent to select the correct tool without confusion.
All tool names follow a consistent verb_noun pattern with 'analyze_' or 'generate_' prefixes, using snake_case uniformly. This predictable naming scheme enhances readability and usability across the tool set.
With 4 tools, the server is well-scoped for a Gemini MCP server focused on analysis and generation tasks, though it might feel slightly thin if more specialized operations are needed. The count is reasonable and each tool earns its place.
The tool set covers core analysis and generation functions for code, images, PDFs, and text, with no obvious dead ends. Minor gaps might exist, such as lack of update or delete operations, but agents can work around these for the stated purpose.