# vision-bridge-mcp

> vision-bridge-mcp — mikhailsal-vision-bridge-mcp. Use this tool when you need to integrate vision capabilities into LLM models by retrieving local and remote images, extracting metadata, and handling availability retries. It solves problems of image sourcing and preprocessing for AI models, providing a lightweight MCP server for efficient data retrieval. The tool accepts image requests as input and outputs retrieved images with extracted metadata, ideal for use cases requiring vision model training or inference.

Canonical page: https://skillsregistry.net/skills/mikhailsal-vision-bridge-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mikhailsal-vision-bridge-mcp

## Description

A lightweight Model Context Protocol (MCP) server for retrieving local and remote images for LLM vision models, featuring metadata extraction and configurable availability retries.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/mikhailsal/vision-bridge-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": "mikhailsal-vision-bridge-mcp"
    }
  }
}
```

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