# Vision Relay

> Use this tool when you need to analyze images without direct API integration, leveraging Google Gemini and Alibaba Qwen vision models through their CLI tools. It solves problems by providing a relay bridge for image analysis, accepting images from local files, URLs, or base64 data, and handling automatic image preparation and validation. It is ideal for AI assistants requiring vision capabilities through existing CLI toolchains, outputting detailed analysis results with comprehensive error handling.

Canonical page: https://skillsregistry.net/skills/ah-wq-vision-relay  
JSON: https://api.skillsregistry.net/v1/skills/ah-wq-vision-relay

## Description

An MCP server that provides a relay bridge to Google Gemini and Alibaba Qwen vision models through their respective CLI tools, enabling image analysis capabilities without direct API integration. Built by ah-wq using TypeScript and the MCP SDK, it accepts images from local files, URLs, or base64 data, handles automatic image preparation and validation, and executes CLI commands with configurable timeouts and parameters. The implementation features a modular provider architecture that isolates CLI-specific logic, comprehensive error handling with detailed command output, and support for various image formats with size limits and extension validation, making it useful for AI assistants that need vision capabilities through existing CLI toolchains rather than direct API access.

## Trust

- **Trust score (0–1):** 0.84
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/ah-wq-vision-relay)
- **Repository:** <https://github.com/ah-wq/mcp-vision-relay>

## 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": "ah-wq-vision-relay"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ah-wq-vision-relay` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ah-wq-vision-relay/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