$ loading_
Let AI assistants list, load, and unload local LM Studio models.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "LM Studio MCP Server" yet — see the docs or source repo.
Use the LM Studio MCP Server to list all available models in LM Studio and show the load status of each model.
A list of models with the load status shown for each one.
Use the LM Studio MCP Server to load the model named llama-3.1-8b-instruct and confirm whether it was loaded successfully.
The result of the load operation, confirming whether the target model is now available.
Use the LM Studio MCP Server to unload a currently loaded model that is not needed right now, and report the result.
The unload result, including which model was released or why the action failed.
Manage LM Studio models via MCP for loading, unloading, and configuration.
Connect MCP clients to local LLMs for chat, vision, RAG, and file workflows.
Manage MCP server configurations with listing, toggling, and version control.
Manage local model runtimes with unified discovery, checks, lifecycle control, and inference.
Run Llama models locally for private, offline AI assistance.
Adds local agent powers to LM Studio for files, terminal tasks, and web search.