What runtime and database does the server require?
Node.js and PostgreSQL (via Neon Database) are required. The server also uses Momento Cache and Kestra for workflow automation.
MCP Heuristics - Garden Management System
@allenheltondev
基本信息
关于 MCP Heuristics - Garden Management System
POC for tracking MCP server tool usage with Kestra
MCP Heuristics - Garden Management System 配置
MCP Heuristics - Garden Management System 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is MCP Heuristics - Garden Management System?
A Model Context Protocol (MCP) server for tracking and managing permaculture garden beds, built with TypeScript and PostgreSQL. It provides a comprehensive suite of tools for managing garden beds, plants, observations, and harvests through structured MCP interactions.
How to use MCP Heuristics - Garden Management System?
Install Node.js, PostgreSQL, and the Kestra CLI. Create a .env file with DATABASE_URL (Neon PostgreSQL) and MOMENTO_TOKEN, then install dependencies.
Key features of MCP Heuristics - Garden Management System
- Garden bed management with metadata and updates
- Plant management with planting dates and species
- Observation logging for moisture, pests, and health
- Harvest tracking with quantities and dates
- Automatic telemetry for tool usage and performance
Use cases of MCP Heuristics - Garden Management System
- Manage multiple garden beds and their plant inventories
- Log daily observations of bed conditions for analysis
- Track harvest yields over time for planning
- Automate garden workflows with Kestra integration
- Monitor system performance via telemetry metrics
常见问题
How are garden beds and plants stored?
All data is stored in a PostgreSQL database configured through the `DATABASE_URL` environment variable.
Does the server support authentication?
— (Not mentioned in the README.)
What is the telemetry feature?
Automatic tracking of tool usage, performance metrics, and success/failure monitoring is built into the server.
Are there any known limitations?
— (Not mentioned in the README.)
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