# mcp-file-system-lmstudio

> mcp-file-system-lmstudio — developersorli-mcp-file-system-lmstudio. Use this tool when you need to integrate local language models with MCP tools, enabling seamless chat completions and model management without API key requirements. It solves problems related to local model deployment and API key management, providing a convenient interface for listing and utilizing language models. This tool is ideal for use cases where local model control and flexibility are essential, with inputs including local model files and outputs featuring completed chats and model listings.

Canonical page: https://skillsregistry.net/skills/developersorli-mcp-file-system-lmstudio  
JSON: https://api.skillsregistry.net/v1/skills/developersorli-mcp-file-system-lmstudio

## Description

Exposes local LM Studio language models as MCP tools, enabling chat completions and model listing through a local OpenAI-compatible API without requiring API keys.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dsl6pz4hra)
- **Repository:** <https://github.com/developersorli/mcp-file-system-lmstudio>

## 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": "developersorli-mcp-file-system-lmstudio"
    }
  }
}
```

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