vmlx MCP Server
vmlx is a Python MCP server with npx, uvx/pip, git clone. vMLX - JANGTQ Uber Compressed MLX Models - L2 Disk Cache (survives restart) + L1 Paged (super fast ttft) + Hybrid SSM Scheduler + Cont Batching + etc!
How to use vmlx MCP Server
Install or run
git clone https://github.com/jjang-ai/vmlx.git
cd vmlx/panel
npm install && npm run build
npx electron-builder --mac dmgWhat is vmlx MCP Server?
vmlx is a Python MCP server with npx, uvx/pip, git clone. vMLX - JANGTQ Uber Compressed MLX Models - L2 Disk Cache (survives restart) + L1 Paged (super fast ttft) + Hybrid SSM Scheduler + Cont Batching + etc! This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Tool access support
- Shell commands support
- Document generation support
- OpenAI provider support
- Anthropic provider support
- Mistral provider support
- Ollama provider support
Available tools
Technical details
Install or run vmlx using npx. Check jjang-ai/vmlx for the latest setup command.
- Built for Python
- Built for Node.js
- Install or run with npx
- Install or run with uvx/pip
- Install or run with git clone
- Uses SSE transport
- API key required
Requirements and access
Security and permissions
Review permissions before connecting any MCP server to an agent. Pay special attention to whether it can read local files, write data, call external services, or perform destructive actions.
When to use vmlx MCP Server
- Use it for connecting agents to external tools and data.
- Use it for integrations workflows.
- Use it for coding workflows.
- Use it for data workflows.
Built with
Explore related resources
Frequently asked questions
What is vmlx?
vmlx is a Python MCP server with npx, uvx/pip, git clone. vMLX - JANGTQ Uber Compressed MLX Models - L2 Disk Cache (survives restart) + L1 Paged (super fast ttft) + Hybrid SSM Scheduler + Cont Batching + etc!
Who is vmlx best for?
vmlx is best for connecting agents to external tools and data, integrations workflows, coding workflows, data workflows.
How do I install vmlx?
Install or run vmlx using npx. Check vmlx for the latest setup command.
Is vmlx actively maintained?
vmlx may need a closer maintenance check before production use.
Auto-fetched from GitHub.