oxide
MCP 服务配置
复制以下 JSON 到 OPClaw 或其他 MCP 客户端的配置文件中即可使用
{
"mcpServers": {
"oxide": {
"args": [
"--directory",
"/Users/yayoboy/Documents/GitHub/oxide",
"run",
"oxide-mcp"
],
"command": "uv",
"env": {
"OXIDE_AUTO_START_WEB": "true"
}
}
}
}
服务介绍
Oxide - Intelligent LLM Orchestrator
Oxide is an intelligent orchestration system that allows Claude Code to automatically route tasks to the most appropriate LLM based on task characteristics, enabling distributed AI resource utilization across local and network services.
Features
- Automatic Task Routing: Intelligently classifies tasks and routes them to the optimal LLM
- Parallel Execution: Distributes large codebase analysis across multiple LLMs simultaneously
- MCP Integration: Native integration with Claude Code via Model Context Protocol
- Multi-Service Support: Works with Gemini CLI, Qwen CLI, Ollama (local & remote), and LM Studio
- Web Dashboard: Real-time monitoring and configuration UI (coming soon)
Architecture
Claude Code (MCP) Oxide Orchestrator [Gemini | Qwen | Ollama | LM Studio]
Supported Services
Local Services:
- Gemini CLI: Large context window (2M tokens) - ideal for codebase analysis
- Qwen CLI: Code-specialized - best for code review and generation
- Ollama: Local inference - fast, low-latency queries
Network Services (LAN):
- LM Studio: OpenAI-compatible API on laptop
- Ollama Remote: Distributed processing on server
Installation
# Clone the repository
cd /Users/yayoboy/Documents/GitHub/oxide
# Install dependencies
uv sync
# Verify installation
uv run oxide-mcp --help
Configuration
Configure services in config/default.yaml:
services:
gemini:
type: cli
executable: gemini
enabled: true
qwen:
type: cli
executable: qwen
enabled: true
ollama_local:
type: http
base_url: "http://localhost:11434"
enabled: true
default_model: "qwen2.5-coder:7b"
Integration with Claude Code
Add to ~/.claude/settings.json:
{
"mcpServers": {
"oxide": {
"command": "uv",
"args": ["--directory", "/Users/yayoboy/Documents/GitHub/oxide", "run", "oxide-mcp"],
"env": {
"OXIDE_AUTO_START_WEB": "true"
}
}
}
}
Note: Setting OXIDE_AUTO_START_WEB=true automatically starts the Web UI when the MCP server launches!
Quick Start
Launch All Services
Multiple ways to start Oxide:
# Option 1: Unified launcher (MCP + Web UI)
uv run oxide-all
# Option 2: Auto-start Web UI with MCP (set OXIDE_AUTO_START_WEB=true in settings.json)
uv run oxide-mcp
# Option 3: Shell script
./scripts/start_all.sh
# Option 4: Separate services
uv run oxide-mcp # MCP server only
uv run oxide-web # Web UI only
See AUTO_START_GUIDE.md for detailed auto-start configuration.
Usage
Once integrated with Claude, use the MCP tools:
# Intelligent task routing
Use oxide route_task to analyze this code for bugs
# Parallel codebase analysis
Use oxide analyze_parallel to analyze the ./src directory
# Check service status
Use oxide list_services to show available LLMs
Task Classification
Oxide automatically classifies tasks:
- CODEBASE_ANALYSIS (>20 files or >500KB) Gemini
- CODE_REVIEW ("review" keyword) Qwen
- CODE_GENERATION ("generate"/"write" keywords) Qwen/Ollama
- QUICK_QUERY (simple, no files) Ollama Local
Web Dashboard
Oxide includes a real-time web dashboard for monitoring and control:
# Start backend server
uv run oxide-web
# Start frontend (in another terminal)
cd oxide/web/frontend && npm install && npm run dev
Access at http://localhost:3000
Features:
- Real-time service status monitoring
- Task execution history
- System metrics (CPU, memory)
- WebSocket live updates
- Service health checks
See WEB_UI_GUIDE.md for complete setup guide.
Network Services Setup
Configure remote LLM services on your LAN:
# Setup Ollama on another machine
./scripts/setup_ollama_remote.sh --ip 192.168.1.100
# Setup LM Studio on laptop
./scripts/setup_lmstudio.sh --ip 192.168.1.50
# Test network services
uv run python scripts/test_network.py --all
# Scan network for services
uv run python scripts/test_network.py --scan 192.168.1.0/24
Development Status
Production Ready - MVP Complete!
- Project structure and dependencies
- Configuration system
- Adapter implementations (Gemini, Qwen, Ollama, LM Studio)
- Task classification and routing
- MCP server
- Web UI dashboard
- Network services support
- Real-time monitoring
- Test suite
- Production documentation
Requirements
- Python 3.11+
- uv package manager
- Gemini CLI (optional)
- Qwen CLI (optional)
- Ollama (optional)
License
MIT
Author
yayoboy esoglobine@gmail.com