# InChat Image Viewer

> Use this tool when you need to enhance AI conversations with visual context, solving problems of unclear or complex descriptions by displaying images directly within chat interfaces. It takes a file path as input and outputs an inline image, supporting common formats like JPEG and PNG. Ideal for use cases where visual aids improve understanding, such as explaining diagrams, showcasing products, or illustrating concepts.

Canonical page: https://skillsregistry.net/skills/gh-oguntolaibrahim-inchat-image-viewer  
JSON: https://api.skillsregistry.net/v1/skills/gh-oguntolaibrahim-inchat-image-viewer

## Description

InChat Image Viewer enables AI assistants to display images directly within chat conversations. Users simply provide a file path, and the server renders the image inline, supporting common image formats for seamless visual context during AI interactions.

## Trust

- **Trust score (0–1):** 0.97
- **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/gh-oguntolaibrahim-inchat-image-viewer)
- **Repository:** <https://github.com/oguntolaibrahim/inchat-image-viewer-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": "gh-oguntolaibrahim-inchat-image-viewer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-oguntolaibrahim-inchat-image-viewer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-oguntolaibrahim-inchat-image-viewer/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