mcp-server-lmstudio
Related Servers
Alternatives to mcp-server-lmstudio
No user-submitted related servers found.
Related Servers
- FlicenseAqualityCmaintenanceMCP 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.91-
- AlicenseNot gradedqualityCmaintenanceExposes local LM Studio language models as MCP tools, enabling chat completions and model listing through a local OpenAI-compatible API without requiring API keys.MIT
- AlicenseNot gradedqualityBmaintenanceHosts local MCP servers on Windows, enabling connection of local AI models (like Gemma) to external tools without cloud dependency.464 npmMIT
- FlicenseCqualityDmaintenanceEnables MCP clients to interact with local LLMs via LM Studio, supporting dynamic chat, vision, RAG, file interaction, and model orchestration.28-
- FlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that bridges MCP clients with local LLM services, enabling seamless integration with MCP-compatible applications through standard tools like chat completion, model listing, and health checks.-
- FlicenseNot gradedqualityDmaintenanceLocal MCP server that exposes fixed tools for GPT, Claude, and Gemini while routing to any OpenAI-compatible chat completions backend with independent configuration per target.1-
TDQS
Scored across 3 tools
Each tool targets a clearly distinct function: listing models, asking the LLM, and checking server status. There is no overlap or ambiguity between them.
All names use snake_case with a consistent verb-first pattern (list_, ask_, check_). The minor variation in object wording reflects their distinct targets rather than inconsistent convention.
Three tools are well-scoped for the narrow purpose of interacting with a local LM Studio server. Each tool earns its place and no tool feels redundant or missing at this scale.
Core operations for checking status, listing models, and querying the LLM are covered. Minor gaps exist, such as model load/unload or generation parameter control, but these are not essential for basic use.