# LM Studio Manager

> Use this tool when you need to manage and interact with LM Studio models, solving problems such as model organization, loading, and troubleshooting. It provides a comprehensive interface for listing, loading, and unloading models, with inputs including model metadata and configurable parameters, and outputs including detailed model information and standardized error codes. This tool is ideal for AI agents requiring efficient model management in various deployment contexts, including containerized environments.

Canonical page: https://skillsregistry.net/skills/portertech-lm-studio  
JSON: https://api.skillsregistry.net/v1/skills/portertech-lm-studio

## Description

Enables AI assistants to manage LM Studio models through the LM Studio SDK. Provides tools for listing downloaded models with metadata like size and architecture, loading models into memory with configurable context length and batch size parameters, unloading specific model instances, and retrieving detailed information about loaded models. Features health check verification, consistent error handling with standardized error codes, and Docker support for containerized deployments.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/portertech-lm-studio)
- **Repository:** <https://github.com/portertech/lm-studio-mcp-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": "portertech-lm-studio"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/portertech-lm-studio` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/portertech-lm-studio/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