LeafEngines MCP Server v1.1.0
TurboQuant-Powered Agricultural Intelligence API for Claude and OpenClaw. Provides environmental data and analysis tools with 6x memory reduction, 8x faster inference. Gemma 7B now runs on 4GB devices.
Features
TurboQuant Performance:
- - 6x memory reduction with Google TurboQuant optimization
- 8x faster inference for agricultural analysis
- Gemma 7B on 4GB devices (previously required 8GB+)
- Cloud-equivalent performance on edge devices
10 Agricultural Intelligence Tools:
- 1. Soil Analysis - Composition and recommendations
- Weather Forecast - 7-day forecasts
- Crop Recommendations - Based on soil/climate
- Pest Detection - Identify common pests
- Irrigation Scheduling - Water optimization
- Yield Prediction - Crop yield estimates
- Market Prices - Agricultural commodity prices
- Sustainability Score - Environmental impact
- Farm Planning - Seasonal planning tools
- TurboQuant Capabilities - Check optimization status (FREE)
Pricing Tiers
API Access (per 1,000 requests):
- - Commoditized: $0.001 (Basic soil/water data)
- Enhanced: $0.003 (Environmental impact, crop suitability)
- Proprietary: $0.01 (Planting optimization, carbon credits)
- EXCLUSIVE: $0.02 (Patent-pending environmental compatibility)
- TurboQuant Testing: FREE (Check optimization capabilities)
Monthly Plans:
- - Starter: $149/month (5k commoditized + 3k enhanced + 1.5k proprietary + 500 exclusive)
- Pro: $499/month (20k commoditized + 10k enhanced + 5k proprietary + 2k exclusive)
- Enterprise: $1,999/month (100k commoditized + 50k enhanced + 25k proprietary + 10k exclusive)
Quick Start
1. Get API Key
Visit: https://github.com/QWarranto/leafengines-claude-mcp/issues/new?template=get-api-key.md
2. Configure Claude Desktop
- 1. Open Claude Desktop settings
- Navigate to Developer → MCP Servers
- Add new server:
- URL:
https://wzgnxkoeqzvueypwzvyn.supabase.co/functions/v1/mcp-server
- Headers: INLINECODE1
3. Configure OpenClaw
Add to OpenClaw config:
CODEBLOCK0
Use Cases
For Farmers & Agriculturists
- - Crop planning based on soil and climate
- Irrigation optimization using weather forecasts
- Pest management with detection tools
- Yield prediction for harvest planning
For Researchers & Students
- - Environmental analysis for studies
- Climate impact assessment
- Agricultural data for research projects
- Sustainability scoring
For Developers & AI Agents
- - Agricultural intelligence in applications
- Environmental data for AI models
- Real-time weather and soil data
- Integration with farming IoT systems
- TurboQuant optimization testing and deployment
For TurboQuant Users
- - Test optimization on your hardware
- Verify performance improvements (6x memory, 8x speed)
- Check compatibility for Gemma 7B on 4GB devices
- Optimize deployment for edge/offline scenarios
API Documentation
Base URL: INLINECODE2
Authentication: x-api-key header
Endpoints:
- -
GET /api/health - Service health check - INLINECODE5 - Soil composition analysis
- INLINECODE6 - Weather forecasts
- INLINECODE7 - Crop suggestions
- INLINECODE8 - Pest identification
- INLINECODE9 - Water optimization
- INLINECODE10 - Yield estimates
- INLINECODE11 - Commodity prices
- INLINECODE12 - Environmental impact
- INLINECODE13 - Seasonal planning
- INLINECODE14 - TurboQuant optimization status (FREE)
Support & Community
- - GitHub: https://github.com/QWarranto/leafengines-claude-mcp (v1.1.0 with TurboQuant)
- Discord: #mcp channel (Claude Discord)
- Twitter: @LeafEnginesAI (TurboQuant announcements)
- Email: Support via GitHub issues
License
Proprietary - Commercial API service. Free tier available for testing including TurboQuant capabilities check.
TurboQuant Technology
Powered by Google's TurboQuant research: 6x memory compression for LLMs enabling Gemma 7B to run on 4GB devices with 8x faster inference for agricultural analysis tasks.
LeafEngines MCP 服务器 v1.1.0
TurboQuant 驱动的农业智能 API,适用于 Claude 和 OpenClaw。提供环境数据和分析工具,实现 6 倍内存缩减、8 倍推理加速。Gemma 7B 现可在 4GB 设备上运行。
功能特性
TurboQuant 性能:
- - 6 倍内存缩减,采用 Google TurboQuant 优化技术
- 8 倍推理加速,用于农业分析
- Gemma 7B 可在 4GB 设备上运行(此前需要 8GB 以上)
- 边缘设备上实现云端级性能
10 项农业智能工具:
- 1. 土壤分析 - 成分分析与建议
- 天气预报 - 7 天预报
- 作物推荐 - 基于土壤/气候条件
- 病虫害检测 - 识别常见病虫害
- 灌溉调度 - 水资源优化
- 产量预测 - 作物产量估算
- 市场价格 - 农产品价格
- 可持续性评分 - 环境影响评估
- 农场规划 - 季节性规划工具
- TurboQuant 能力 - 检查优化状态(免费)
定价层级
API 访问(每 1,000 次请求):
- - 商品化数据: $0.001(基础土壤/水质数据)
- 增强数据: $0.003(环境影响、作物适宜性)
- 专有数据: $0.01(种植优化、碳信用)
- 独家数据: $0.02(正在申请专利的环境兼容性)
- TurboQuant 测试: 免费(检查优化能力)
月度套餐:
- - 入门版: $149/月(5k 商品化 + 3k 增强 + 1.5k 专有 + 500 独家)
- 专业版: $499/月(20k 商品化 + 10k 增强 + 5k 专有 + 2k 独家)
- 企业版: $1,999/月(100k 商品化 + 50k 增强 + 25k 专有 + 10k 独家)
快速开始
1. 获取 API 密钥
访问:https://github.com/QWarranto/leafengines-claude-mcp/issues/new?template=get-api-key.md
2. 配置 Claude Desktop
- 1. 打开 Claude Desktop 设置
- 导航至 开发者 → MCP 服务器
- 添加新服务器:
- URL:https://wzgnxkoeqzvueypwzvyn.supabase.co/functions/v1/mcp-server
- 请求头:x-api-key: 你的API密钥
3. 配置 OpenClaw
添加到 OpenClaw 配置:
yaml
mcpServers:
leafengines:
url: https://wzgnxkoeqzvueypwzvyn.supabase.co/functions/v1/mcp-server
headers:
x-api-key: 你的API密钥
使用场景
面向农民与农业从业者
- - 作物规划,基于土壤和气候条件
- 灌溉优化,利用天气预报
- 病虫害管理,借助检测工具
- 产量预测,用于收获规划
面向研究人员与学生
- - 环境分析,用于学术研究
- 气候影响评估
- 农业数据,用于研究项目
- 可持续性评分
面向开发者与 AI 代理
- - 农业智能,集成到应用中
- 环境数据,用于 AI 模型
- 实时天气和土壤数据
- 集成,与农业物联网系统对接
- TurboQuant 优化测试与部署
面向 TurboQuant 用户
- - 测试优化,在你的硬件上
- 验证性能提升(6 倍内存、8 倍速度)
- 检查兼容性,Gemma 7B 在 4GB 设备上
- 优化部署,用于边缘/离线场景
API 文档
基础 URL: https://wzgnxkoeqzvueypwzvyn.supabase.co/functions/v1/
认证方式: x-api-key 请求头
端点:
- - GET /api/health - 服务健康检查
- POST /soil-analysis - 土壤成分分析
- GET /weather-forecast - 天气预报
- POST /crop-recommendation - 作物建议
- POST /pest-detection - 病虫害识别
- POST /irrigation-schedule - 水资源优化
- POST /yield-prediction - 产量估算
- GET /market-prices - 商品价格
- POST /sustainability-score - 环境影响评估
- POST /farm-planning - 季节性规划
- GET /turbo-quant-capabilities - TurboQuant 优化状态(免费)
支持与社区
- - GitHub: https://github.com/QWarranto/leafengines-claude-mcp(v1.1.0 含 TurboQuant)
- Discord: #mcp 频道(Claude Discord)
- Twitter: @LeafEnginesAI(TurboQuant 公告)
- 邮箱: 通过 GitHub Issues 提供支持
许可证
专有 - 商业 API 服务。提供免费层级用于测试,包括 TurboQuant 能力检查。
TurboQuant 技术
由 Google 的 TurboQuant 研究驱动: 实现 LLM 的 6 倍内存压缩,使 Gemma 7B 能够在 4GB 设备上运行,并针对农业分析任务实现 8 倍推理加速。