# lmstudio-bridge-enhanced

> lmstudio-bridge-enhanced — ahmedibrahim085-lmstudio-bridge-enhanced. Use this tool when you need to connect Claude Code to local Large Language Models (LLMs) for enhanced development and testing. It solves problems related to API costs, data privacy, and model integration by providing a bridge through LM Studio APIs and MCP. The tool accepts various inputs, including code and model configurations, and outputs connected LLMs with access to filesystem, database, web, and git functionalities.

Canonical page: https://skillsregistry.net/skills/ahmedibrahim085-lmstudio-bridge-enhanced  
JSON: https://api.skillsregistry.net/v1/skills/ahmedibrahim085-lmstudio-bridge-enhanced

## Description

- A Vibe Coded Project -  Connect Claude Code to local LLMs through LM Studio APIs via MCP bridge.   Multi-model support, hot reload, dynamic MCP discovery. Access filesystem,    database, web, git, and more. Zero API costs, full privacy, test   coverage. Inspired by infinitimeless/LMStudio-MCP.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ahmedibrahim085/lmstudio-bridge-enhanced)

## 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": "ahmedibrahim085-lmstudio-bridge-enhanced"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ahmedibrahim085-lmstudio-bridge-enhanced` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ahmedibrahim085-lmstudio-bridge-enhanced/pull`

---
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