# mcp-filter-adapter

> mcp-filter-adapter — hiroog-mcp-filter-adapter. Use this tool when you need to process image responses from UE5 MCP servers and convert them into recognizable content blocks for AI. It solves the problem of token overflow by filtering out unnecessary data, enabling efficient image recognition. The adapter takes image responses as input and outputs formatted image content blocks, making it ideal for use cases involving image processing and AI-driven applications.

Canonical page: https://skillsregistry.net/skills/hiroog-mcp-filter-adapter  
JSON: https://api.skillsregistry.net/v1/skills/hiroog-mcp-filter-adapter

## Description

An MCP adapter that converts image responses from UE5 MCP servers into proper image content blocks, enabling AI to recognize captured images. It prevents token overflow by filtering out unnecessary data.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pxts7mleo0)
- **Repository:** <https://github.com/hiroog/mcp-filter-adapter>

## 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": "hiroog-mcp-filter-adapter"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hiroog-mcp-filter-adapter` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hiroog-mcp-filter-adapter/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