# posecode

> posecode — posecode-dev-posecode. Use this tool when you need to manage and deploy Posecode models, as it provides a robust MCP server for streamlined model serving and inference. It solves problems related to model deployment, scaling, and management, allowing for efficient integration with various applications. The tool accepts trained Posecode models as input and outputs predictions and insights, making it ideal for use cases that require scalable and reliable model deployment.

Canonical page: https://skillsregistry.net/skills/posecode-dev-posecode  
JSON: https://api.skillsregistry.net/v1/skills/posecode-dev-posecode

## Description

MCP server for Posecode

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/igsojsdmyn)
- **Repository:** <https://github.com/posecode-dev/posecode>

## 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": "posecode-dev-posecode"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/posecode-dev-posecode` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/posecode-dev-posecode/pull`

---
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