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Model Context Protocol (MCP) server for comprehensive task and feature management, providing AI assistants with a structured, context-efficient way to interact with project data.
Task Orchestrator is an MCP server entry in ChatHome Skills, sourced from Docker MCP Registry and scored 100/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Task Orchestrator to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
docker run -i --rm ghcr.io/jpicklyk/task-orchestratorReview the upstream source before running this command.
{
"raw": "name: task-orchestrator\nimage: ghcr.io/jpicklyk/task-orchestrator\ntype: server\nmeta:\n category: ai\n tags:\n - tasks\n - database\nabout:\n title: Task Orchestrator\n description: Model Context Protocol (MCP) server for comprehensive task and feature management, providing AI assistants with a structured, context-efficient way to interact with project data.\n icon: https://avatars.githubusercontent.com/u/5747775?v=4\nsource:\n project: https://github.com/jpicklyk/task-orchestrator\n commit: 919f3762d13c37543a3e604d658f0e8aced8f3e8\nrun:\n volumes:\n - mcp-task-data:/app/data\n",
"path": "servers/task-orchestrator/server.yaml"
}