lmstudio-mcp
Enables Claude Code to delegate mechanical tasks (summaries, boilerplate, reformatting) to local models running in LM Studio.
README
lmstudio-mcp
An MCP server that lets Claude Code delegate easy, mechanical tasks (summaries, boilerplate, reformatting, test data) to local models running in LM Studio — keeping Claude as the orchestrator while cheap work runs locally.
Tools
| Tool | Purpose |
|---|---|
ask_local_model |
Send a self-contained prompt to a local model. Optional model, system, temperature, max_tokens. |
list_local_models |
List models currently available in LM Studio. |
The ask_local_model tool description tells Claude when to delegate (mechanical, low-stakes tasks with small context) so delegation happens automatically once the server is installed.
Requirements
- Node.js 18+
- LM Studio running with its local server enabled (default
http://localhost:1234) and at least one chat model loaded
Setup
git clone https://github.com/zmagyar/lmstudio-mcp.git
cd lmstudio-mcp
npm install
# register with Claude Code (user scope = available in all projects)
claude mcp add --scope user lmstudio -- node "$(pwd)/index.js"
Start a new Claude Code session and try: "use the local model to summarize this file".
Configuration
Set via environment variables (e.g. in the server's entry in ~/.claude.json):
| Variable | Default | Purpose |
|---|---|---|
LMSTUDIO_BASE_URL |
http://localhost:1234/v1 |
LM Studio API endpoint |
LMSTUDIO_DEFAULT_MODEL |
openai/gpt-oss-120b |
Model used when Claude doesn't specify one |
Set LMSTUDIO_DEFAULT_MODEL to a model you actually have loaded — run lms ls or check the LM Studio UI.
Making delegation automatic
Out of the box, Claude only uses the tools when you ask ("use the local model to…"). Two extra steps make it delegate small tasks on its own, without prompting you each time — sample files for both are in examples/:
-
Standing instructions — append the contents of
examples/CLAUDE.md.sampleto your~/.claude/CLAUDE.md(create it if missing). It's loaded into every session and tells Claude when to delegate: mechanical, low-stakes tasks like log summaries, boilerplate, and reformatting — and when not to. -
Pre-approved permissions — merge the
permissionsblock fromexamples/settings.json.sampleinto your~/.claude/settings.json, so the tool calls don't stop at a permission prompt. If you already have apermissions.allowarray, just add the two entries to it.
Both changes take effect in your next Claude Code session. Try "summarize the last 200 lines of this build log" — the lmstudio tool should fire without being asked for.
Note that delegation is judgement-based: Claude decides per-task using those instructions, so tune the wording in your CLAUDE.md if it delegates too eagerly or too rarely.
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.