Is the LMStudio-MCP MCP server actively maintained?

The LMStudio-MCP MCP server was last committed 6mo ago and has 2 contributors. Issue health: 100% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

LMStudio-MCP MCP Server

Name: infinitimeless/LMStudio-MCP
Rating: 3.3 (1 reviews)
Author: infinitimeless

infinitimeless/LMStudio-MCP

Score: 56.7 Rank #7957 MCP Server

[![AgentRank](https://agentrank-ai.com/api/v1/badge/infinitimeless--LMStudio-MCP)](https://agentrank-ai.com/tool/infinitimeless--LMStudio-MCP/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

Are you the maintainer of infinitimeless/LMStudio-MCP? Claim this listing →

A Model Control Protocol (MCP) server that allows Claude to communicate with locally running LLM models via LM Studio.

Add AgentRank to Claude Code Discover and compare tools like infinitimeless/LMStudio-MCP — your AI finds the right one automatically

Get API Access →

claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

infinitimeless/LMStudio-MCP is a Python MCP server licensed under MIT. A Model Control Protocol (MCP) server that allows Claude to communicate with locally running LLM models via LM Studio.

Ranked #7957 out of 24846 indexed tools.

Ecosystem

Python MIT

Score Breakdown

Stars 15% 171

171 stars → growing community

Freshness 25% 6mo ago

Last commit 6mo ago → stale

Issue Health 25% 100%

4/4 issues closed → responsive maintainer

Contributors 10% 2

2 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 32

Description Good

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Freshness high impact

Last commit was 202 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

Markdown

[![AgentRank](https://agentrank-ai.com/api/v1/badge/infinitimeless--LMStudio-MCP)](https://agentrank-ai.com/tool/infinitimeless--LMStudio-MCP/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

<a href="https://agentrank-ai.com/tool/infinitimeless--LMStudio-MCP/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/infinitimeless--LMStudio-MCP" alt="AgentRank"></a>

Embed Widget docs →

HTML

<script src="https://agentrank-ai.com/embed.js" data-tool="infinitimeless/LMStudio-MCP"></script>

Details

Stars: 171
Forks: 32
Open Issues: 0
Closed Issues: 4
Contributors: 2
Dependents: —
Language: Python
License: MIT
Last Commit: 6mo ago

Matched Queries

"mcp server""mcp-server"

From the README

# LMStudio-MCP

A Model Control Protocol (MCP) server that allows Claude to communicate with locally running LLM models via LM Studio.

## Overview

LMStudio-MCP creates a bridge between Claude (with MCP capabilities) and your locally running LM Studio instance. This allows Claude to:

- Check the health of your LM Studio API
- List available models
- Get the currently loaded model
- Generate chat and raw text completions using your local models
- Generate vector embeddings for semantic search and RAG
- Hold stateful multi-turn conversations via response IDs
- Start and continue persistent conversations with a locked-in system prompt

This enables you to leverage your own locally running models through Claude's interface, combining Claude's capabilities with your private models.

## Prerequisites

- Python 3.7+
- [LM Studio](https://lmstudio.ai/) installed and running locally with a model loaded
- Claude with MCP access
- Required Python packages (see Installation)

## 🚀 Quick Install

Read full README on GitHub →