MCP Servers

llmstudio-mcp

MCP server that connects LLM agents to a local LM Studio instance, enabling model management, OpenAI-compatible chat completions, text completions, and embeddings through a set of tools.

README

llmstudio-mcp

Polski

MCP server exposing a local LM Studio instance to LLM agents — list / load / unload models, run chat and text completions, generate embeddings, and reach any other LM Studio REST endpoint via a raw escape hatch.

Tools
Environment variables
Prerequisites
Wiring it up
Local run

Tools

Tool	Parameters	Description
`list_models`	`type: "all" \| "llm" \| "embedding" \| "vlm" = "all"`	Lists downloaded models with metadata (type, state, context length, quant)
`get_model`	`model_key: str`	Info about a single model
`get_loaded_models`	—	Models currently resident in memory
`load_model`	`model_key, context_length?, flash_attention?, offload_kv_cache_to_gpu?, num_experts?, eval_batch_size?`	Loads a model into memory
`unload_model`	`instance_id: str`	Frees a model from memory
`chat`	`model, messages, temperature?, max_tokens?, top_p?, top_k?, stop?, stream?, tools?`	OpenAI-compatible chat completion (`/v1/chat/completions`)
`complete`	`model, prompt, temperature?, max_tokens?, top_p?, top_k?, stop?, stream?`	OpenAI-compatible text completion (`/v1/completions`)
`embed`	`model, input, normalize=false`	OpenAI-compatible embeddings (`/v1/embeddings`)
`raw_request`	`method, path, json_body?`	Escape hatch for any LM Studio REST endpoint

Environment variables

Variable	Required	Default	Description
`LMSTUDIO_MCP_BASE_URL`	no	`http://localhost:1234`	LM Studio server URL
`LMSTUDIO_MCP_API_KEY`	no	empty	API token (only if you enabled token auth in LM Studio's Developer tab)
`LMSTUDIO_MCP_TIMEOUT`	no	`60.0`	HTTP timeout in seconds; raise for slow models or large generations

Prerequisites

LM Studio running with its API server enabled — either the desktop app with the Developer tab toggle on, or lms server start from the CLI. At least one model downloaded (lms get <model>).

Wiring it up

Only requirement: uv (https://docs.astral.sh/uv/). Nothing else to install.

Claude Code

claude mcp add llmstudio-mcp -- uvx --from git+https://github.com/dam2452/llmstudio-mcp.git llmstudio-mcp

If you enabled API token auth in LM Studio:

claude mcp add llmstudio-mcp -e LMSTUDIO_MCP_API_KEY=<token> -- uvx --from git+https://github.com/dam2452/llmstudio-mcp.git llmstudio-mcp

Claude Desktop / other MCP client

{
  "mcpServers": {
    "llmstudio-mcp": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/dam2452/llmstudio-mcp.git", "llmstudio-mcp"]
    }
  }
}

After pushing a new version: uv cache clean and restart the client.

Local run

uv run --directory . llmstudio-mcp

Tests (manual):

uv run --directory . --with pytest pytest test/

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