Task Orchestrator

Task Orchestrator is an MCP server that provides structured task breakdown, persistent memory, and automated documentation for AI-assisted software development. It connects developer environments such as Claude Desktop, Cursor, Windsurf, and Claude Code to an underlying SQLite storage layer and workspace-aware file manager. Software engineers and development teams use this server to handle complex engineering workflows that exceed single-prompt capabilities. Instead of relying on monolithic model responses, Task Orchestrator guides development through specialized virtual agent roles, including architects, implementers, testers, and technical documenters. The server automatically detects project file structures and Git repositories, keeping execution artifacts and notes mapped directly to the active workspace. It enables developers to plan multi-step technical roadmaps, preserve architectural decisions across sessions, execute code implementations with role-specific context, and generate comprehensive test suites and documentation without losing state. Built-in maintenance tools also monitor task health, archive stale workflow records, and prevent context bloat during extended development lifecycles.

Category: AI & LLM Tooling

Tags: agent-orchestration, automation, productivity, task-management, workflow

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How to install and configure Task Orchestrator

1. Verify that Python 3.8 or higher is installed on your system alongside an MCP-compatible client like Claude Desktop, Cursor, or Windsurf. 2. Clone the repository and execute the universal setup script to detect and configure clients automatically: bash git clone https://github.com/EchoingVesper/mcp-task-orchestrator.git cd mcp-task-orchestrator python install.py 3. Alternatively, install the package manually via pip using pip install mcp-task-orchestrator or via pipx with pipx install mcp-task-orchestrator. 4. If you installed via pip, configure your MCP client manually by adding the Task Orchestrator server definition to your client's JSON configuration file. 5. Restart your MCP client and test the server by running orchestrator_initialize_session or prompting: Initialize a new orchestration session and plan a Python script for processing CSV files.

What you can do with Task Orchestrator

• Decomposing complex software features into structured architectural plans, implementation steps, testing requirements, and technical documentation tasks. - Maintaining persistent project context and architectural decisions across long development sessions using local SQLite database storage. - Generating unit and integration test suites automatically through a dedicated specialist tester agent context. - Preserving build artifacts, code snippets, and configuration guides relative to the detected project workspace root. - Cleaning up stale orchestration records and optimizing database performance through automated session maintenance tools.

Key facts

• https://github.com/EchoingVesper/mcp-task-orchestrator
• AI & LLM Tooling, Developer Tools & Code Intelligence, Project & Task Management
• agent-orchestration, automation, productivity, task-management, workflow

Part of MCP Servers

How do I install Task Orchestrator?

You can install Task Orchestrator by cloning its repository and running python install.py, which automatically detects and configures supported MCP clients. Alternatively, install it directly using pip install mcp-task-orchestrator or pipx install mcp-task-orchestrator, then configure your client JSON settings manually.

What can Task Orchestrator do?

Task Orchestrator automates project execution by breaking complex prompts into phased workflows handled by specialized roles like Architect, Implementer, Tester, and Documenter. It tracks task states in SQLite, creates project documentation, organizes artifacts within your workspace, and runs automated cleanup routines.

Which MCP clients work with Task Orchestrator?

Task Orchestrator officially supports Claude Desktop, Cursor, Windsurf, and Claude Code with automated client detection. It also provides installation and configuration pathways for developer environments such as VS Code with MCP extensions, Continue.dev, and Cline.

Is Task Orchestrator open source?

Yes, Task Orchestrator is open source software distributed under the MIT license. Developers can freely inspect the codebase, customize role definitions in project configuration files, and contribute improvements directly through the official GitHub repository.