"How to install LM Studio tool" matching MCP servers:

Enables AI assistants to manage LM Studio models, including listing, loading, and unloading models through the LM Studio API.

Enables listing, loading, unloading, and configuring models in LM Studio via MCP tools, with support for TTL and draft model settings.

Enables MCP clients to interact with local LLMs via LM Studio, supporting dynamic chat, vision, RAG, file interaction, and model orchestration.

An MCP server that turns local LM Studio models into imaginative storytellers, automatically generating and saving creative stories as text files.

Enables local OpenAI Codex or Anthropic Claude Code clients to connect to Spicy Studio, guiding client sign-in and browser-based pairing so users can share selected stories or creative briefs and receive reviewable text or structured short-drama drafts.

Unified MCP server for managing local model runtimes (Ollama, LM Studio, etc.), enabling provider-agnostic discovery, lifecycle management, hardware-fit checks, and delegated inference.

Discovers local model runtimes such as Ollama, LM Studio, and LocalAI, and exposes their endpoint metadata to MCP clients like Copilot.

Provides a no-op 'think' tool that enables Claude to decompose complex problems and enhance reasoning by pausing to organize thoughts.

MCP server connecting Claude Code to LM Studio, delegating token-expensive tasks to a local model while keeping the cloud model in control. It reduces cloud context usage by reading files locally and returning only the processed results.

Enables interaction with Microsoft Copilot Studio Agents through the Direct Line 3.0 API, allowing users to start conversations, send messages, retrieve history, and end conversations directly from their code editor.

MCP server that enables Claude to control Altair AI Studio for data mining and machine learning tasks, including data import, cleaning, transformation, model training, clustering, association rules, and executing saved processes.

Provides agents with MCP tools for typed probabilistic decisions—Choice, Noul, and Score—with calibrated probabilities and abstention, using local OpenAI-compatible models via LM Studio logprobs.

Enables delegating narrow tasks such as classification, schema-based extraction, and summarization to local models running through Ollama or LM Studio, with code-validated structured outputs.

MCP server for building a user-approved transcript corpus from Handy, optimizing post-processing prompts against LM Studio, and promoting winning inference settings.

Enables diagnosing, testing, benchmarking, and deliberately controlling LM Studio through a local-only MCP stdio server, with mutations disabled by default and evidence-based capability verification.

Enables coding agents to build, test, ship, and manage Microsoft Copilot Studio agents from the editor, with YAML-based authoring, sync via Power Platform CLI, and API coverage for evaluations, chat, and flows.

Provides deployable, stateless MCP services for rigorous inference evaluation and benchmarking, including a profiled lm-evaluation-harness controller/worker and a bounded vLLM forward-pass benchmark adapter.

Enables Claude Code to delegate mechanical tasks (summaries, boilerplate, reformatting) to local models running in LM Studio.

Enables AI agents to drive the local YuE Studio music creation desktop app, including guided wizards, song submission, job tracking, lyric input, cancellation, and style reference queries for composing and adapting songs.

Real-time AI-assisted music production, advanced composition, mixing, and VST coordination for FL Studio via bidirectional MIDI & WebSockets, exposing over 100 tools for comprehensive DAW control.