# Gemini MCP

> Use this tool when you need to analyze and process images using advanced AI models, solving problems such as image classification, object detection, and enhancement. It accepts local files, URLs, and Base64 images as input and provides streaming responses with automatic output saving. Ideal for applications requiring efficient and accurate image processing, such as computer vision tasks and media analysis.

Canonical page: https://skillsregistry.net/skills/ceeon-gemini-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ceeon-gemini-mcp

## Description

Enables image processing and analysis using Google's Gemini 2.5 Flash model. Supports local files, URLs, and Base64 images with streaming responses and automatic output saving.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m4omjfb626)
- **Repository:** <https://github.com/Agentchengfeng/gemini-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ceeon-gemini-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ceeon-gemini-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ceeon-gemini-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt