Is the lm-bridge MCP server actively maintained?

The lm-bridge MCP server was last committed today and has 1 contributor. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

lm-bridge MCP Server

Name: psipher/lm-bridge
Rating: 3.1 (1 reviews)
Author: psipher

psipher/lm-bridge

Score: 51.6 Rank #58 MCP Server

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Rust based MCP server. Let your AI agent think in the cloud, code on your machine

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Overview

psipher/lm-bridge is a Rust MCP server. Rust based MCP server. Let your AI agent think in the cloud, code on your machine

Ranked #58 out of 100 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Rust No license

Score Breakdown

Stars 15% 4

4 stars → early stage

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 1

Description Good

License None

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

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License low impact

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Contributors medium impact

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Details

Stars: 4
Forks: 1
Open Issues: 0
Closed Issues: 0
Contributors: 1
Dependents: —
Language: Rust
License: —
Last Commit: today

Matched Queries

"mcp server""mcp-server"

From the README

# LM Bridge - Rust MCP Server for Google Antigravity

A high-performance Rust-based Model Context Protocol (MCP) server that connects Google Antigravity to local LLMs via LM Studio. This lets a cloud model handle orchestration and review while your local model handles code generation, editing, completion, and optional local explanation.

*Optimized for `openai/gpt-oss-20b` and  tested on an RTX 5070 Ti (64GB RAM).*

## Prerequisites

- [Rust & Cargo](https://rustup.rs/) (edition 2021)
- [LM Studio](https://lmstudio.ai/) running locally with its Server enabled.
- **Windows Users:** You MUST have **Visual Studio Build Tools** installed with the **"Desktop development with C++"** workload selected. This provides the `link.exe` linker required for compilation.
- **macOS Users:** You MUST have Xcode Command Line Tools installed. You can install them by running `xcode-select --install` in your terminal.

## Hardware & LM Studio Configuration (RTX 5070 Ti / 64GB RAM)

To achieve maximum perfo

Read full README on GitHub →