# LM Studio MCP Bridge

> Use this tool when you need to integrate local Large Language Models (LLMs) with MCP clients, enabling features like dynamic chat, vision, and file interaction. It solves problems of limited model accessibility and interaction, providing a bridge for seamless communication between MCP clients and local LLMs via LM Studio. This tool is ideal for applications requiring model orchestration and multi-modal interactions.

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

## Description

Enables MCP clients to interact with local LLMs via LM Studio, supporting dynamic chat, vision, RAG, file interaction, and model orchestration.

## 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:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qh7jg01swz)
- **Repository:** <https://github.com/ozwei/lmstudio-mcp-bridge>

## 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": "ozwei-lmstudio-mcp-bridge"
    }
  }
}
```

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