task-orchestrator

by jpicklyk · Kotlin · ★ 183

Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.

#ai-coding-assistant#ai-development#ai-harness#ai-memory#ai-tools#claude#claude-code#claude-desktop#context-persistence#developer-tools#harness-engineering#harness-framework#mcp#mcp-server#model-context-protocol#task-management#vibe-coding#workflow-automation

Install

git clone https://github.com/jpicklyk/task-orchestrator.git

Claude Desktop config

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "task-orchestrator": {
      "command": "npx",
      "args": [
        "-y",
        "github:jpicklyk/task-orchestrator"
      ]
    }
  }
}

From the README

**Server-enforced workflow discipline for AI agents.** Prompt-based frameworks hope the LLM follows instructions. This one blocks the call if it doesn't. [](https://github.com/jpicklyk/task-orchestrator/releases) [](https://github.com/jpicklyk/task-orchestrator/actions/workflows/test.yml) [](https://opensource.org/licenses/MIT) [](https://modelcontextprotocol.io) | | Prompt-Based Frameworks | Task Orchestrator | |--|------------------------|-------------------| | **Enforcement** | Instructions that agents should follow | Server blocks the call if rules aren't met | | **Persistence** | File…

Read full README on GitHub →

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