mcp-vision-image-fadhli
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GEMINI_API_KEY | Yes | Your Gemini API key. Get one at https://aistudio.google.com/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 | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| analyze_imageA | Menganalisis dan mendeskripsikan gambar (file path lokal atau URL) menggunakan Gemini Vision AI. |
| get_usage_statsA | Menampilkan statistik pemakaian API Gemini Vision (jumlah panggilan hari ini, total, sisa limit harian, per model, dan riwayat harian). |
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: analyze_image handles image analysis, while get_usage_stats reports API usage metrics. No overlap or ambiguity exists.
Both tools follow a consistent verb_noun pattern: analyze_image and get_usage_stats. The naming is uniform and predictable.
With only 2 tools, the server feels thin but is reasonable for a focused single-purpose image analysis service. It sits at the borderline of being too minimal.
For its stated purpose of image analysis via Gemini Vision, the server covers the core operation (analyze_image) and adds useful monitoring (get_usage_stats). No obvious missing operations within this narrow domain.