mcp-task-orchestrator

# MCP Task Orchestrator [](https://opensource.org/licenses/MIT) [](https://www.python.org/downloads/) [](https://github.com/EchoingVesper/mcp-task-orchestrator/releases/tag/v1.8.0) A Model Context Protocol server that breaks down complex tasks into structured workflows with specialized AI roles. Features workspace-aware task management that automatically detects your project context and saves artifacts in the right locations. ## What it does - Input to Output Example **Instead of this:** ``` User: "Build a Python web scraper for news articles" Claude: [Provides a single, monolithic response with basic code] ``` **You get this structured workflow:** ``` User: "Build a Python web scraper for news articles" Step 1: Architect Role ├── System design with rate limiting and error handling ├── Technology selection (requests vs scrapy) ├── Data structure planning └── Scalability considerations Step 2: Implementer Role ├── Core scraping logic implementation ├── Error handling and retries ├── Data parsing and cleaning └── Configuration management Step 3: Tester Role ├── Unit tests for core functions ├── Integration tests with live sites ├── Error condition testing └── Performance validation Step 4: Documenter Role ├── Usage documentation ├── API reference ├── Configuration guide └── Troubleshooting guide Example Result: Structured web scraper implementation with: ✓ Error handling patterns ✓ Test coverage ✓ Documentation ✓ Development practices ``` Each step provides specialist context and expertise rather than generic responses. ## Key Features - **LLM-powered task decomposition**: Automatically breaks complex projects into logical subtasks - **Specialist AI roles**: Architect, Implementer, Debugger, Documente…