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Give MCP-compatible AI clients real context for Pinoox PHP HMVC projects.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "pinoox-mcp" yet — see the docs or source repo.
Read the current Pinoox project context and summarize the HMVC module structure, the responsibilities of core directories, and where I should start troubleshooting issues in the user module.
A context-aware explanation of the project structure with a prioritized path for troubleshooting the user module.
Using this Pinoox project context, find the controller, model, view, and database change points needed to add a new order status field, and list recommended edits.
File locations matched to the current project structure, along with specific recommended changes.
Using the current Pinoox HMVC project context, generate a create endpoint for the product management module following the existing code style, including routing, controller method, model call, and basic parameter validation.
A code draft aligned with the project’s existing architecture and style, reducing mismatches from generic templates.
Connect to the mcp API via MCP to extend AI tool capabilities.
Manage Proxmox VMs, containers, nodes, and resources using natural language.
A sample MCP server for learning and testing tools and resources.
Build, debug, and manage software tasks with natural language across LLMs.
Query an AI project portfolio, search by tech, and get project details.
Use zero-config MCP servers for web search and AI-driven Hexo blog management.