MCP Server for WPipe Architecting
Project description
🦅 wpipe-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 (Class-based states, Typed Context, Pydantic).
- 📘 Architect's Manual: Built-in expertise that teaches agents how to build pipelines exactly like a Senior Engineer.
- 💻 Unified CLI: Manage your MCP service with simple commands:
run,start,stop, andconfig. - 🛡️ Privacy First: 100% local execution via
stdioorSSE.
🚀 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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