MCP Task Orchestrator - A task management and orchestration server for the Model Context Protocol
Until 2026-09-27 this record combined several servers published from one repository. The others now have records of their own: mcp-task-orchestrator, mseep-mcp-task-orchestrator. Checks from before that date include them.
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"iflow-mcp-echoingvesper-mcp-task-orchestrator","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# MCP Task Orchestrator [](https://opensource.org/licenses/MIT) [](https://www.python.org/downloads/) [](https://github.com/EchoingVesper/mcp-task-orchestrator/releases/tag/v2.0.0) A Model Context Protocol server that transforms how you work with AI by automatically documenting every decision, implementation, and test as you build. Think of it as the memory layer for AI-assisted development that ensures no context is ever lost. ## Overview The MCP Task Orchestrator provides intelligent task orchestration, specialized AI roles, and persistent memory for AI-assisted development. Built with Clean Architecture principles, it automatically detects project structure and saves artifacts appropriately. **Document Type**: Project Overview & User Guide **Target Audience**: Developers using MCP clients (Claude Desktop, Cursor, VS Code, etc.) **Prerequisites**: Python 3.8+, MCP-compatible client **Last Updated**: 2025-01-13 ## Key Features - **Documentation Automation**: Every task generates comprehensive, searchable artifacts - **Specialist AI Roles**: Architect, Implementer, Tester, Reviewer, Documenter, and more - **Persistent Memory**: Never lose context - all decisions and implementations are preserved - **Workspace Awareness**: Automatically detects project structure and saves artifacts appropriately - **Template System**: 13 tools for creating reusable task templates - **Clean Architecture**: Built with modern software design principles - **Universal MCP Compatibility**: Works across Claude Desktop, Cursor, Windsurf, VS Code + extensions ## Quick Start ### Prerequisites - Python 3.8+ - One or more MCP clients (Claude Desktop, Cursor IDE, Windsurf, or VS Code with extensions) ### Installation 1. **Install**: `pip install mcp-task-orchestrator` 2. **Configure…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.