# Stickman Character MCP Server

> Stickman Character MCP Server — meankit18-stickman-mcp. Use this tool when you need to control and animate a stickman character for various applications, such as educational content, interactive stories, or animated explanations. It solves problems related to character animation and rendering by allowing coding agents to set joint angles and facial expressions, and generate output in multiple formats like SVG, PNG, GIF, or MP4. This tool is ideal for use cases where a simple, yet customizable character animation is required, with inputs including joint angles and facial expressions, and outputs being still frames or full animations in various formats.

Canonical page: https://skillsregistry.net/skills/meankit18-stickman-mcp  
JSON: https://api.skillsregistry.net/v1/skills/meankit18-stickman-mcp

## Description

Enables MCP-compatible coding agents to control a posable, rigged stickman character by setting joint angles and facial expressions, and to render still frames or full animations as SVG, PNG, GIF, or MP4.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ut501b771d)
- **Repository:** <https://github.com/meAnkit18/stickman-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": "meankit18-stickman-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/meankit18-stickman-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/meankit18-stickman-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