smithery/Artin0123-gemini-image-mcp-server

latest · 1.4.3

Analyze images and videos with Gemini to get fast, reliable visual insights. Handle content from U…

GitHub: Artin0123/gemini-vision-mcp
MCP registry: ai.smithery/artin0123-gemini-image-mcp-server

Install

claude mcp add --transport http ai-smithery-artin0123-gemini-image-mcp-server https://server.smithery.ai/@Artin0123/gemini-image-mcp-server/mcp

/mcp confirms it's connected.

Install

Or add it manually in ~/.cursor/mcp.json:

{
  "mcpServers": {
    "ai-smithery-artin0123-gemini-image-mcp-server": {
      "url": "https://server.smithery.ai/@Artin0123/gemini-image-mcp-server/mcp"
    }
  }
}

In claude_desktop_config.json (Settings → Developer → Edit Config), then restart:

{
  "mcpServers": {
    "ai-smithery-artin0123-gemini-image-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://server.smithery.ai/@Artin0123/gemini-image-mcp-server/mcp"
      ]
    }
  }
}

Endpoint, any MCP client:

https://server.smithery.ai/@Artin0123/gemini-image-mcp-server/mcp

Community score

Community16/ 100

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Web signals (ecosystem baseline)16/100 · 100% of the weight

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What the web says

Ecosystem baseline16/ 100

Objective public usage & activity (formula v3) — the community score's web-signals input, and its own sort.

GitHubsource ↗

GitHub stars · 1 month ago: ★ 2
Contributors · 1 month ago: 6
Last commit · 19 days ago: 354 days ago
License · 19 days ago: MIT

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Version history1

1.4.3release date unknown

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Details

Transport: streamable-http
Status: listed
Source: Imported from the MCP registry
Repository: source ↗