# Cloud Vision API MCP Server

> Use this tool when you need to analyze images and extract visual information through natural language interactions. It solves problems such as image classification, object detection, and text recognition, providing AI agents with a standardized interface to access Google's Cloud Vision API. The tool accepts image files and natural language queries as inputs and returns extracted visual information as outputs, ideal for use cases where image analysis and understanding are critical.

Canonical page: https://skillsregistry.net/skills/ag2-mcp-servers-cloud-vision-api  
JSON: https://api.skillsregistry.net/v1/skills/ag2-mcp-servers-cloud-vision-api

## Description

An MCP (Multi-Agent Conversation Protocol) Server that provides a standardized interface for interacting with Google's Cloud Vision API, enabling AI agents to analyze images and extract visual information through natural language.

## Trust

- **Trust score (0–1):** 0.94
- **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/nldd1j10gc)
- **Repository:** <https://github.com/ag2-mcp-servers/cloud-vision-api>

## 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": "ag2-mcp-servers-cloud-vision-api"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ag2-mcp-servers-cloud-vision-api` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ag2-mcp-servers-cloud-vision-api/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