# Docent (Image Description)

> Use this tool when you need to generate detailed descriptions of images for accessibility, content analysis, or enhanced AI interactions. It takes image inputs and returns descriptive text outputs through the MCP framework, leveraging OpenAI's API and FastMCP library. Ideal for applications requiring image understanding and description, such as visual media analysis and accessibility features.

Canonical page: https://skillsregistry.net/skills/docent-image-description  
JSON: https://api.skillsregistry.net/v1/skills/docent-image-description

## Description

A Docent Server implementation that enables AI assistants to generate descriptions of images through the MCP framework. Built with TypeScript and Node.js, this server leverages the FastMCP library and OpenAI's API to provide image description capabilities. The implementation registers a specialized docent tool that processes image inputs and returns detailed descriptions, making it particularly useful for accessibility applications, content analysis, and enhancing AI interactions with visual media.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/docent-image-description)
- **Repository:** <https://github.com/dongprojectteam/mcp-docent-server>

## 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": "docent-image-description"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/docent-image-description` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/docent-image-description/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