mcp-file-system-lmstudio
Interfaces with LM Studio's OpenAI-compatible API to provide local model chat and model listing capabilities.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-file-system-lmstudioWrite a short poem about autumn."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-file-system-lmstudio
A Model Context Protocol (MCP) server that exposes a local LM Studio model as tools. It talks to LM Studio's OpenAI-compatible API, so any model loaded in LM Studio can be queried from an MCP client.
Features
lmstudio_chat— send a prompt (or full multi-turn message history) to the local model and get its response backlmstudio_list_models— list all models currently available on the LM Studio serverNo API keys required — everything runs locally against your own LM Studio instance
Related MCP server: llmstudio-mcp
Requirements
Node.js >= 18 (uses built-in
fetch)A running LM Studio server with at least one model loaded
Start the LM Studio server from its UI (Developer tab → Start Server). By default it listens on http://localhost:1234.
Installation
git clone https://github.com/developersorli/mcp-file-system-lmstudio.git
cd mcp-file-system-lmstudio
npm installConfiguration
The server reads two optional environment variables:
Variable | Default | Description |
|
| Base URL of the LM Studio OpenAI-compatible API |
| (auto) | Default model id. If unset, the first available model is used |
MCP client configuration
Example for Cline / Claude Desktop style clients:
{
"mcpServers": {
"mcp-file-system-lmstudio": {
"command": "node",
"args": ["/absolute/path/to/mcp-file-system-lmstudio/index.mjs"],
"env": {
"LMSTUDIO_BASE_URL": "http://localhost:1234/v1",
"LMSTUDIO_MODEL": "my-model-id"
}
}
}
}Tools
lmstudio_chat
Parameter | Type | Required | Description |
| string | yes | The user message / prompt to send |
| string | no | Optional system instruction prepended as a system message |
| string | no | Model id to use (overrides the default) |
| number | no | Sampling temperature 0–2 (default 0.7) |
| number | no | Maximum tokens to generate |
| array | no | Full conversation history; takes precedence over |
lmstudio_list_models
No parameters. Returns the ids of all models available on the LM Studio server.
License
MIT — see LICENSE.
This server cannot be deployed
Maintenance
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