great-cto vs MCP Task Orchestrator
great-cto is a plugin bundle for AI coding tools published by avelikiy. Marketplaces we read that list it: 2 (Claude Code: claude-plugins-community, Community GitHub marketplaces). MCP Task Orchestrator is an MCP server published by jpicklyk. Marketplaces we read that list it: 2 (Official MCP Registry, Docker MCP Catalog). As of our marketplace pass on 2026-10-22. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.
Where each is published
| Marketplace |  great-cto |  MCP Task Orchestrator |
|---|---|---|
| Claude Code: claude-plugins-community | Listed Version: 2.95.0 Forks (GitHub): 13 Stars (GitHub): 105 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 3.16.0 Forks (GitHub): 25 Stars (GitHub): 209 Not marked · First seen |
| Docker MCP Catalog | Not listed | Listed Version: sha256:eab0bb62611a Forks (GitHub): 25 Stars (GitHub): 209 Not marked · First seen |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
The facts side by side
| Fact | great-cto | MCP Task Orchestrator |
|---|---|---|
| Marketplaces that list it | 2 | 2 |
| Stars (GitHub) (differs) | 105 (worse) | 209 (better) |
| Forks (GitHub) (differs) | 13 (worse) | 25 (better) |
| Last release (differs) | 2026-10-22 | Not published |
| Where it runs (differs) | Installs as a plugin bundle | On your machine (ghcr.io/jpicklyk/task-orchestrator:3.16.0) |
| Transport (differs) | Not stated | stdio |
| Tools it declares (differs) | Not published | 42 |
| Environment variables it asks for (differs) | 4, secrets among them: 2 | 7, secrets among them: 0 |
| Hooks it runs (differs) | 45 | Not published |
| Parts of the bundle (differs) | 159 | Not a bundle |
| Licence | MIT | MIT |
| Repository (differs) | github.com/avelikiy/great_cto | github.com/jpicklyk/task-orchestrator |
| Changes in the last 7 days (differs) | 8 | 0 |
| First seen | 2026-10-11 | 2026-10-11 |
Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.
What each says it does
great-cto
Full SDLC pipeline with 7 agents: architecture, code review, QA, security. Two decisions per feature, the rest is automated.
MCP Task Orchestrator
Server-enforced workflow discipline for AI agents: work items, dependency graphs, quality gates
How to run each
great-cto As a Claude Code plugin
/plugin marketplace add anthropics/claude-plugins-community
/plugin install great-cto@claude-communityMCP Task Orchestrator As a local MCP server: Docker image
claude mcp add --transport stdio task-orchestrator -- docker run -i --rm -v mcp-task-data:/app/data ghcr.io/jpicklyk/task-orchestrator:3.16.0Commands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
The marketplaces of great-cto publish no list of tools, so we do not compare tools.
Settings each asks for
Only great-cto asks for
GREAT_CTO_ROUTER_MAX_TOKENS (secret)GREAT_CTO_ROUTER_MODELGREAT_CTO_ROUTER_TIMEOUTOPENROUTER_API_KEY (secret)
Only MCP Task Orchestrator asks for
AGENT_CONFIG_DIRDATABASE_PATHLOG_FILELOG_LEVELMCP_HTTP_PORTMCP_TRANSPORTUSE_FLYWAY
Settings as each marketplace publishes them. Asking for fewer is not better in itself.
What it can do: great-cto · What it can do: MCP Task Orchestrator · Compare two other plugins
Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-community/blob/HEAD/.claude-plugin/marketplace.json. Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.