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MCP Server for WPipe Architecting

Project description

🦅 wpipe-mcp

Version License MCP

Transform your AI Agents into expert WPipe Architects.

wpipe-mcp is a professional Model Context Protocol (MCP) server that bridges the gap between AI Agents (Claude, Gemini, OpenCode) and the wisrovi SUITE. It empowers agents to search, design, and deploy high-performance pipelines following industry-standard patterns.


✨ Key Features

  • 🔍 Expert Catalog Search: Query over 100+ production-ready steps from Official and Community registries.
  • 🏗️ Professional Scaffolding: Deploy complete project structures with LTS patterns (ResourceMonitor, TaskTimer, Typed Context, Pydantic).
  • 📘 Architect's Manual: Built-in expertise that teaches agents how to build pipelines with performance tracking and resilient state management.
  • 💻 Unified CLI: Manage your MCP service with simple commands: run, start, stop, and config.
  • 🛡️ Privacy First: 100% local execution via stdio or SSE.

🚀 Quick Start

1. Installation

Clone the repository and run the automated installer:

./installer.sh

2. Integration

Get your agent-specific configuration block:

wpipe-mcp config

Copy the output into your agent's configuration file (e.g., claude_desktop_config.json).


🛠️ CLI Usage

Command Description
wpipe-mcp run Start the server in stdio mode (default for agents).
wpipe-mcp start Start as an SSE server in the background.
wpipe-mcp stop Stop the background server.
wpipe-mcp config Generate JSON configuration for AI agents.
wpipe-mcp help Show available tools and commands.

📂 Project Structure

  • src/wpipe_mcp/: Core server logic and tools.
  • src/wpipe_mcp/catalog.py: Real-time GitHub catalog synchronization.
  • src/wpipe_mcp/templates.py: Professional boilerplate definitions.
  • examples/: Sample implementations and use cases.

📄 License

MIT License - Crafted with ❤️ by William Rodriguez (wisrovi).

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