# LMStudio-MCP

> Use this tool when you need to integrate locally running Large Language Models (LLMs) with Claude, enabling seamless communication and control through the Model Control Protocol (MCP) server in LM Studio. It solves problems of model accessibility and compatibility, allowing for efficient interaction between Claude and local LLMs. The tool accepts model inputs and outputs via LM Studio, making it ideal for use cases requiring local model management and customization.

Canonical page: https://skillsregistry.net/skills/samscarrow-lmstudio-mcp  
JSON: https://api.skillsregistry.net/v1/skills/samscarrow-lmstudio-mcp

## Description

A Model Control Protocol (MCP) server that allows Claude to communicate with locally running LLM models via LM Studio.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bvn8pxtfeg)
- **Repository:** <https://github.com/samscarrow/LMStudio-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": "samscarrow-lmstudio-mcp"
    }
  }
}
```

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