"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.

Houtini LM - LM Studio MCP Server with Expert Prompt Library and Custom Prompting - Offload tasks to LM Studio from Claude Desktop.

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

Fetches live weather data from Open-Meteo without an API key and returns structured JSON with location disambiguation, enabling weather queries in LM Studio chat.

MCP server integrating MaverickMCP with LM Studio, providing 37+ stock market analysis tools including market data, technical analysis, screening, portfolio tracking, backtesting, and research. Enables natural language interaction with stock analysis tools within LM Studio.

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

MCP server that integrates with LM Studio to provide a search_notes tool, allowing the chat model to retrieve and answer from a local Obsidian vault.

Enables AI coding tools to control Roblox Studio for workspace exploration, instance manipulation, and script management. It provides tools for playtesting, scene rendering, and integration with the Roblox Creator Store.

Resolves a company domain to its LinkedIn company page URL. Lightweight enrichment tool for sales and prospecting workflows.

Enables AI agents to drive a running Roblox Studio in real time over a single WebSocket, executing whole Luau programs, installing in-engine controllers, hot-patching scripts during live playtests, and receiving errors, assertions and other events as pushes. It also reaches Roblox Open Cloud for the open place and answers visual questions via a vision sidecar, exposing all of this through nine MCP tools.

A Model Context Protocol server that provides a scratchpad tool for LLMs to organize thoughts, take notes, and plan approaches to complex problems.

An MCP proxy that embeds tool definitions and returns only the top-k semantically relevant tools per query, reducing context usage and routing calls to upstream MCP servers.

MCP server for the DAG Studio causal-inference engine, enabling AI agents to construct, analyze, and validate causal directed acyclic graphs (DAGs) through tools for analysis, data simulation, and code generation.

Enables AI clients like Claude to read and manage Microsoft To Do task lists and tasks via the Microsoft Graph API, running locally over stdio with secure token storage.

Enables testing how different MCP clients handle tool results containing both content and structuredContent, including outputSchema enforcement and mismatch scenarios.

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.

MCP server that exposes tools to route natural language queries to typed IDs, describe catalog entries, and list repository verification commands for the m-dev-tools organization.

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

Enables local AI assistant apps to connect to Spicy Studio over MCP, share a selected story or creative request, and receive a text or structured short-drama draft for review before applying it.