helix-work MCP Server
advai-x/helix-work
[](https://agentrank-ai.com/tool/advai-x--helix-work/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Model-neutral AI workspace for macOS with multi-provider models, extensible tools, and inspectable deliverables.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
advai-x/helix-work is a tool. Model-neutral AI workspace for macOS with multi-provider models, extensible tools, and inspectable deliverables. Topics: ai-agent, ai-workspace, apple-silicon, desktop-app, developer-tools, document-generation, generative-ai, llm, macos, mcp, multi-provider, productivity, ai-assistant, electron, macos-app.
Ranked #7008 out of 24846 indexed tools.
Ecosystem
Score Breakdown
133 stars → growing community
Last commit 20d ago → recently updated
No issues filed → no history to score
2 contributors → solo project
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
<p align="center"> </p> <p align="center"> <a href="https://github.com/Advai-X/helix-work/releases/latest"></a> </p> Helix Work is a desktop workspace for getting substantial work done with AI. Start with a task, give Helix access to the tools and context it needs, follow the work as it happens, and review the resulting files without leaving the app. ## What you can do - Run AI-assisted tasks against a local project workspace. - Read, create, and revise documents, reports, presentations, code, and other artifacts. - Work with project files, an integrated terminal, browser-based research, and previews in one place. - Extend workflows with Skills, Plugins, and MCP-compatible integrations. - Connect leading AI providers and switch between state-of-the-art models for different tasks. - Review task progress and generated outputs before using or sharing them. The exact tools available to a task depend on your Helix configuration, installed integrations, selected model provideRead full README on GitHub →
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