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!
Decision snapshot
Is this a fit?
Connecting agents to external tools and data, Integrations workflows, Coding workflows, Data workflows
Python
API key required authentication
npx, uvx/pip, git clone, Self-hosted
4 months ago · Apache-2.0 license
Requires Python. Requires Apache-2.0 license. Requires API key required.
How to use vmlx MCP Server
Install or run
git clone https://github.com/jjang-ai/vmlx.gitClient configuration
{
"mcpServers": {
"smoke": {
"transport": "stdio",
"command": ".venv/bin/python",
"args": ["tests/fixtures/mcp_smoke_server.py"],
"enabled": true,
"timeout": 10
}
},
"max_tool_calls": 4,
"default_timeout": 10
}
What 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. See how SkillIndex evaluates profiles.
Key capabilities
- Tool access support
- Shell commands support
- Document generation support
- OpenAI provider support
- Anthropic provider support
- Mistral provider support
- Ollama provider support
Compatibility and setup
Install or run vmlx using npx. Check jjang-ai/vmlx for the latest setup command.
- Built for Python
- Install or run with npx
- Install or run with uvx/pip
- Install or run with git clone
- Uses stdio transport
- Uses SSE transport
- API key required
MCP metadata is retained with field-level source and confidence evidence. Undetected values remain unknown.
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
Verified compatibility and discovery
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.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
