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Google Tasks MCP Server vs MCP Task Orchestrator

Google Tasks MCP Server is an MCP server published by ebmurha. Marketplaces we read that list it: 1 (Official MCP Registry). 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 2026-10-23. 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

Where each is published
MarketplaceGoogle Tasks MCP ServerMCP Task Orchestrator
Official MCP Registry Listed
Version: 0.4.0
Downloads/month (PyPI): 126
Downloads/week (PyPI): 39
Forks (GitHub): 0
Stars (GitHub): 2
Not marked · First seen
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

Google Tasks MCP Server vs MCP Task Orchestrator
FactGoogle Tasks MCP ServerMCP Task Orchestrator
Marketplaces that list it (differs)1 (worse)2 (better)
Stars (GitHub) (differs)2 (worse)209 (better)
Forks (GitHub) (differs)0 (worse)25 (better)
Last releaseNot publishedNot published
Where it runs (differs)On your machine (google-tasks-mcp)On your machine (ghcr.io/jpicklyk/task-orchestrator:3.16.0)
Transportstdiostdio
Tools it declares (differs)Not published42
Environment variables it asks for (differs)5, secrets among them: 27, secrets among them: 0
Licence (differs)Not statedMIT
Repository (differs)github.com/ebmurha/google-tasks-mcpgithub.com/jpicklyk/task-orchestrator
Changes in the last 7 days00
First seen2026-10-112026-10-11

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

Google Tasks MCP Server

In its own words, on Official MCP Registry:

Manage Google Tasks from MCP-compatible AI clients.

MCP Task Orchestrator

In its own words, on Official MCP Registry:

Server-enforced workflow discipline for AI agents: work items, dependency graphs, quality gates

How to run each

Google Tasks MCP Server As a local MCP server: PyPI package

Claude Code
claude mcp add --env "GOOGLE_CLIENT_ID=<YOUR_GOOGLE_CLIENT_ID>" --env "GOOGLE_CLIENT_SECRET=<YOUR_GOOGLE_CLIENT_SECRET>" --env "GOOGLE_REDIRECT_URI=<YOUR_GOOGLE_REDIRECT_URI>" --transport stdio google-tasks-mcp -- uvx google-tasks-mcp

Requires: GOOGLE_CLIENT_ID (secret), GOOGLE_CLIENT_SECRET (secret), GOOGLE_REDIRECT_URI

MCP Task Orchestrator As a local MCP server: Docker image

Claude Code
claude mcp add --transport stdio task-orchestrator -- docker run -i --rm -v mcp-task-data:/app/data ghcr.io/jpicklyk/task-orchestrator:3.16.0

Commands built only from what the marketplaces declare; the full set for every client is on each card.

Tools each declares

The marketplaces of Google Tasks MCP Server publish no list of tools, so we do not compare tools.

Settings each asks for

Only Google Tasks MCP Server asks for

  • DB_PATH
  • DEFAULT_TASKLIST
  • GOOGLE_CLIENT_ID (secret)
  • GOOGLE_CLIENT_SECRET (secret)
  • GOOGLE_REDIRECT_URI

Only MCP Task Orchestrator asks for

  • AGENT_CONFIG_DIR
  • DATABASE_PATH
  • LOG_FILE
  • LOG_LEVEL
  • MCP_HTTP_PORT
  • MCP_TRANSPORT
  • USE_FLYWAY

Settings as each marketplace publishes them. Asking for fewer is not better in itself.

What it can do: Google Tasks MCP Server · What it can do: MCP Task Orchestrator · Compare two other plugins

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.

Where the data comes from: how the catalog is built