Artin0123 Gemini Image MCP Server vs AI Vision MCP
A side-by-side look at the Artin0123 Gemini Image MCP Server and AI Vision MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Artin0123 Gemini Image MCP Server for multimedia process work; choose AI Vision MCP for multimedia process as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Artin0123 Gemini Image MCP Server when
- You need dedicated capabilities in the Multimedia Process domain.
- You have the keys it needs:
GEMINI_API_KEY, GEMINI_MODEL. - You want tools like
analyze_image, analyze_youtube_video.
Choose AI Vision MCP when
- You need dedicated capabilities in the Multimedia Process domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
IMAGE_PROVIDER, VIDEO_PROVIDER, GEMINI_API_KEY, VERTEX_CLIENT_EMAIL, VERTEX_PRIVATE_KEY, VERTEX_PROJECT_ID, GCS_BUCKET_NAME. - You want tools like
analyze_image, compare_images, detect_objects_in_image.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Multimedia Process | Multimedia Process |
| Quality signal | 41/100 · Fair | 63/100 · Good |
| Install command | Not confirmed yet | Confirmed |
| Transport | — | Local subprocess (stdio) |
| Auth | Not declared | API key required |
| Pricing | Not declared | BYOK (pay the provider) |
| Required env vars | GEMINI_API_KEYGEMINI_MODEL | IMAGE_PROVIDERVIDEO_PROVIDERGEMINI_API_KEYVERTEX_CLIENT_EMAILVERTEX_PRIVATE_KEYVERTEX_PROJECT_IDGCS_BUCKET_NAME |
| Verified owner | Community listing | Community listing |
| GitHub stars | 2 | 80 |
| Directory activity | 1 views 0 installs 0 upvotes | 5 views 0 installs 0 upvotes |
| Tools | 2 | 4 |
| Full listing | View Artin0123 Gemini Image MCP Server | View AI Vision MCP |
Tools & capabilities
Artin0123 Gemini Image MCP Server tools 2
analyze_imageAnalyze one or more image URLs. **Maximum file size: 16 MB per image.**analyze_youtube_videoAnalyze a YouTube video from URL. No size limit.
AI Vision MCP tools 4
analyze_imageAnalyze an image using AI vision models. Supports URLs, base64 data, and local file paths.compare_imagesCompare multiple images using AI vision models. Supports URLs, base64 data, and local file paths.detect_objects_in_imageDetect objects in an image using AI vision models and generate annotated images with bounding boxes. Supports URLs, base64 data, and local file paths. File handling: explicit filePath → exact path, otherwise → temp directory. Uses optimized default parameters for object detection.analyze_videoAnalyze a video using AI vision models. Supports URLs and local file paths.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Artin0123 Gemini Image MCP Server
No confirmed install command for Artin0123 Gemini Image MCP Server yet — follow the setup steps linked from its listing page rather than a guessed package name.
AI Vision MCP
{
"mcpServers": {
"tan-yong-sheng-ai-vision-mcp": {
"command": "npx",
"args": [
"-y",
"ai-vision-mcp"
],
"env": {
"IMAGE_PROVIDER": "YOUR_IMAGE_PROVIDER_HERE",
"VIDEO_PROVIDER": "YOUR_VIDEO_PROVIDER_HERE",
"GEMINI_API_KEY": "YOUR_GEMINI_API_KEY_HERE",
"VERTEX_CLIENT_EMAIL": "YOUR_VERTEX_CLIENT_EMAIL_HERE",
"VERTEX_PRIVATE_KEY": "YOUR_VERTEX_PRIVATE_KEY_HERE",
"VERTEX_PROJECT_ID": "YOUR_VERTEX_PROJECT_ID_HERE",
"GCS_BUCKET_NAME": "YOUR_GCS_BUCKET_NAME_HERE"
}
}
}
}
Frequently asked questions
Artin0123 Gemini Image MCP Server is categorized under Multimedia Process and uses an install path we have not confirmed yet. AI Vision MCP belongs to Multimedia Process and uses a local stdio subprocess. Pick Artin0123 Gemini Image MCP Server for multimedia process work and AI Vision MCP for multimedia process.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client. Artin0123 Gemini Image MCP Server has no confirmed install command yet — follow its own setup instructions.
Artin0123 Gemini Image MCP Server has no declared pricing — check the project's own site. AI Vision MCP is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add artin0123-gemini-image-mcp-server and tan-yong-sheng-ai-vision-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Artin0123 Gemini Image MCP Server has a quality signal of 41/100 (Fair) with 1 views, 0 installs and 2 GitHub stars. AI Vision MCP has 63/100 (Good) with 5 views, 0 installs and 80 GitHub stars.