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Run and monitor MCP tools on local MLX models on Mac.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "local-mcp" yet — see the docs or source repo.
Guide me to use local-mcp on Mac with a local MLX model and configure an MCP toolchain for file operations and web search, including install steps, sample config, and startup commands.
A runnable local setup guide with installation steps, sample configuration, and run commands.
Some requests in local-mcp are not routing correctly to my local MLX model. Help me design a troubleshooting process focusing on hardware-aware settings, CLI streaming logs, and tool routing rules.
A structured troubleshooting checklist to identify configuration, logging, or routing issues.
Explain how to use the local-mcp dashboard to monitor local MCP tool calls, including request routing, response status, and performance bottlenecks, and provide optimization tips for Mac.
A monitoring and optimization guide covering key metrics, observation methods, and performance tuning suggestions.
Lets AI assistants manage LLM inference, backends, and VRAM via MCP.
Let AI read, write, search files, and run local commands.
Process multimodal content and GUI automation locally with strong privacy and efficiency.
Manage local model runtimes with unified discovery, checks, lifecycle control, and inference.
Let ChatGPT safely access your Windows PC for supervised file and desktop actions.
Route LLM tasks locally first to keep sensitive data private and controlled.