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task-orchestrator

Skill Productivity Usable
Works inClaude Code
Usable Scanned — metadata only

Enforces output quality and task completion guarantees in multi-agent workflows by blocking incomplete or non-conforming work at the server level, eliminatin…

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.

199 starsMIT (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Enforces output quality and task completion guarantees in multi-agent workflows by blocking incomplete or non-conforming work at the server level, eliminating downstream failures and rework.

Teams running multi-step AI agent pipelines where task interdependencies, quality standards, and audit trails matter more than raw speed.

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

By jpicklyk

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Instructions to paste into Claude
docker pull ghcr.io/jpicklyk/task-orchestrator:latest

claude mcp add-json mcp-task-orchestrator '{
  "command": "docker",
  "args": ["run", "--rm", "-i", "-v", "mcp-task-data:/app/data", "ghcr.io/jpicklyk/task-orchestrator:latest"]
}'

Restart your client; the server auto-initializes on first run.
First thing to try

After installing, paste this into Claude:

Help me research agents producing structured findings that must pass schema validation before downstream analysis
PrerequisitesDocker installed and running.CostFree

Trust Signals Auto-scanned

Stars199Contributors2Last updated2026-08-04LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-12 · scanner vattempted-no-data

Community Pulse Active

Discussed on Hacker News, Reddit

3 mentions across 2 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 192 GitHub stars; contributors unknown; last commit 2d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 192 GitHub stars; contributors unknown; last commit 2d ago; license MIT.

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