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The task-orchestrator MCP server was last committed 29d ago and has 2 contributors. Issue health: 67% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

task-orchestrator MCP Server

Name: jpicklyk/task-orchestrator
Rating: 4.1 (1 reviews)
Author: jpicklyk

jpicklyk/task-orchestrator

Score: 78.6 ↑ 1.4% Rank #2284 Agent Framework

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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.

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Overview

jpicklyk/task-orchestrator is a Kotlin MCP server licensed under MIT. 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. Topics: ai-coding-assistant, ai-development, ai-memory, ai-tools, claude, claude-code, claude-desktop, context-persistence, developer-tools, mcp, mcp-server, model-context-protocol, task-management, vibe-coding, workflow-automation, ai-harness, harness-engineering, harness-framework.

Ranked #2284 out of 24846 indexed tools.

In the top 10% of all indexed tools.

Ecosystem

Kotlin MIT

ai-coding-assistantai-developmentai-memoryai-toolsclaudeclaude-codeclaude-desktopcontext-persistencedeveloper-toolsmcpmcp-servermodel-context-protocoltask-managementvibe-codingworkflow-automationai-harnessharness-engineeringharness-framework

Score Breakdown

Stars 15% 207

207 stars → growing community

Freshness 25% 29d ago

Last commit 29d ago → recently updated

Issue Health 25% 67%

31/46 issues closed → decent issue management

Contributors 10% 2

2 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 24

Description Detailed

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Markdown

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Details

Stars: 207
Forks: 24
Open Issues: 15
Closed Issues: 31
Contributors: 2
Dependents: —
Language: Kotlin
License: MIT
Last Commit: 29d ago

Matched Queries

"mcp server""mcp-server"topic:mcptopic:mcp-servertopic:model-context-protocol

From the README

# MCP Task Orchestrator

**Server-enforced workflow discipline for AI agents.**

Prompt-based frameworks hope the LLM follows instructions. This one blocks the call if it doesn't.

Task Orchestrator is an [MCP server](https://modelcontextprotocol.io) that gives AI coding agents a persistent work item graph with quality gates enforced by the server, not the prompt. It is built for developers running multi-agent or multi-session coding workflows: an orchestrator dispatching sub-agents, a fresh session picking up yesterday's work, or an autonomous loop draining a backlog. It ships as a Docker image, works with any MCP client, and has an optional [Claude Code plugin](#claude-code-plugin) that adds skills and hooks on top.

> **New here? Start with the [illustrated field guide](https://jpicklyk.github.io/task-orchestrator/field-guide/).** It explains the ideas on this page in short visual pages, several of them interactive: fire triggers at a phase gate, click a work breakdown through its d

Read full README on GitHub →