MCP Task Orchestrator

mcp-serverNo score yet

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.

Stars

193

Δ stars 7d

Δ stars 30d

Forks

22

Contributors

2

npm DL / wk

PyPI DL / wk

Language

Kotlin

Last push

2026-06-01

About MCP Task Orchestrator

Prompt-based frameworks hope the LLM follows instructions. This one blocks the call if it doesn't. Multi-agent workflows need infrastructure the model doesn't provide. When an orchestrator dispatches sub-agents across sessions, there's no built-in way to enforce what documentation must exist before work starts, track which agent made which change, or guarantee dependency ordering across a work breakdown. These are structural concerns — they belong in the server, not in prompts. Task Orchestrator is an MCP server — not a prompt layer. It…

Read the full README on GitHub →

Newly tracked — a growth score appears after the first full scoring week. Signals are deliberately suppressed during cold start to avoid false positives.

MCP Task Orchestrator alternatives

Projects in the same category, closest in size — picked by data, not opinion.

diivi/aseprite-mcpNo score yet191

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Frequently asked questions

Is MCP Task Orchestrator still maintained?
Yes — actively maintained. The last push was on 2026-06-01, with 2 contributors.
What are the best MCP Task Orchestrator alternatives?
Closest by category and size in our data: io.github.SepineTam/stata-mcp, io.github.marianfoo/mcp-sap-docs, ai.smithery/zwldarren-akshare-one-mcp — full list with live signals above.

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Tracked since 2026-06-10 · data as of 2026-06-10 · 0 open issues · 23 releases