# LM Studio MCP Server

> Use this tool when you need to manage AI models in LM Studio, as it enables listing, loading, and unloading of models through a straightforward API interface, solving model management and deployment problems for AI assistants. It takes model identifiers and API commands as inputs and returns model status and configuration outputs. Use it in contexts where seamless model integration and control are required for efficient AI operations.

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

## Description

Enables AI assistants to manage LM Studio models, including listing, loading, and unloading models through the LM Studio API.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/abks3tltnh)
- **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-mcp-server"
    }
  }
}
```

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