local-mcp
Enables running MCP tools against local MLX models on your Mac, with hardware-aware configuration, CLI streaming, and a dashboard for routing and monitoring.
README
local-mcp
Run MCP tools against local MLX models on your Mac.
local-mcp routes MCP tool calls, CLI prompts, and dashboard testing traffic to your own OpenAI-compatible local model servers. v5 adds better hardware detection, a one-command init flow, CLI streaming, and improved routing visibility in the dashboard.
Quick Start
# 1. Install dependencies
pip install mlx-lm
# 2. Detect your hardware and write a starter config
npx local-mcp init
# 3. Start the two recommended MLX servers printed by init
python3 -m mlx_lm.server --model mlx-community/Qwen3.5-9B-MLX-4bit --port 8081
python3 -m mlx_lm.server --model mlx-community/Qwen2.5-1.5B-Instruct-4bit --port 8083
# 4. Register with Claude Code
claude mcp add local-mcp -- npx local-mcp serve
# 5. Open the dashboard
npx local-mcp dashboard
You can inspect hardware fit without writing config:
npx local-mcp fit
You can also ask the local model directly from the terminal. Output streams as tokens arrive:
npx local-mcp ask "Explain why mmap helps large-model inference"
Architecture
┌──────────────────────────────┐
│ Hardware Scanner │
│ local-mcp fit / init │
└──────────────┬───────────────┘
│ fit report
▼
┌───────────────┐ HTTP ┌──────────────────────┐ HTTP ┌───────────────┐
│ local-mcp CLI │──────────▶│ OpenAI-compatible │──────────▶│ MLX Models │
│ ask / fit / │ │ local endpoints │ │ smart + fast │
│ init │ └──────────────────────┘ └───────────────┘
└───────────────┘
│
│ stdio
▼
┌───────────────┐ HTTP ┌───────────────┐
│ MCP Server │─────────────────────────────────▶│ MLX Models │
│ Claude/Codex │ │ smart + fast │
└───────────────┘ └───────────────┘
┌───────────────┐ HTTP ┌──────────────────────┐
│ Dashboard │──────────▶│ OpenAI-compatible │
│ status/routing│ │ local endpoints │
└───────────────┘ └──────────────────────┘
CLI
npx local-mcp ask "your question"
npx local-mcp ask --fast "classify this quickly"
npx local-mcp ask --reason "work through this carefully"
npx local-mcp fit
npx local-mcp init
npx local-mcp bench
npx local-mcp status
npx local-mcp dashboard
npx local-mcp serve
npx local-mcp start
Bin aliases:
local-mcp-fit
local-mcp-init
Hardware Fit
local-mcp fit scores curated models against detected machine RAM.
perfect: model RAM footprint is under 50% of system RAMgood: under 70%marginal: under 85%too_large: likely poor experience or unsafe to run alongside normal apps
On macOS, v5 also improves CPU detection and available-memory reporting:
- CPU uses
system_profiler,sysctl -n machdep.cpu.brand_string, andsysctl -n hw.model - Apple Silicon detection checks both
sysctl -n hw.optional.arm64anduname -m - Available RAM uses
vm_statfree + inactive + speculative pages instead of raw free pages only
Machine Recommendations
| Machine | Smart | Fast |
|---|---|---|
| Mac mini 24GB | Qwen3.5-9B |
Qwen2.5-1.5B |
| MacBook Pro 36GB | Qwen3-14B or Phi-4 |
Qwen2.5-1.5B |
| MacBook Pro 64GB | Qwen3.5-27B |
Qwen2.5-7B |
Dashboard
The dashboard at http://localhost:4242 includes:
- Status with live smart/fast endpoint health and latency
- Model library with curated MLX models
- Hardware fit view with recommended smart/fast assignments
- Routing controls with health badges, reset-to-defaults, and last-saved timestamp
- Setup wizard, logs, and prompt template editing
Configuration
local-mcp init writes ~/.local-mcp/config.json with recommended models. Environment variables can still override the config file.
Example:
{
"endpoints": {
"smart": {
"url": "http://localhost:8081",
"model": "mlx-community/Qwen3.5-9B-MLX-4bit"
},
"fast": {
"url": "http://localhost:8083",
"model": "mlx-community/Qwen2.5-1.5B-Instruct-4bit"
}
},
"routing": {
"ask": "smart",
"reason": "smart",
"classify": "fast",
"summarize": "fast",
"code_review": "smart",
"explain": "smart",
"extract": "fast",
"translate": "fast",
"diff_analysis": "smart"
}
}
MCP Clients
Claude Code:
claude mcp add local-mcp -- npx local-mcp serve
Generic stdio config:
{
"mcpServers": {
"local-mcp": {
"command": "node",
"args": ["/absolute/path/to/local-mcp/dist/index.js", "serve"]
}
}
}
Troubleshooting
- If
askdoes not stream,local-mcpfalls back to normal non-streaming JSON responses automatically. - If
fitreportsUnknown CPU, make suresysctl,uname, andsystem_profilerare available in your shell. - If an endpoint is down, open the dashboard Routing tab to confirm which tier assignments currently point at an unhealthy server.
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