# LMStudio-MCP

> Use this tool when you need to integrate locally running large language models with Claude's interface, enabling private model usage and leveraging LM Studio's capabilities. It solves the problem of inaccessible private models by bridging the communication gap, allowing users to input queries and receive outputs from their local models via Claude. Ideal for use cases where data privacy and security are paramount, and users want to utilize their private models seamlessly through Claude.

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

## Description

A bridge that allows Claude to communicate with locally running LLM models via LM Studio, enabling users to leverage their private models through Claude's interface.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gnm5k0ghlp)
- **Repository:** <https://github.com/infinitimeless/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": "infinitimeless-lmstudio-mcp"
    }
  }
}
```

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