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Server-enforced workflow discipline for AI agents: work items, dependency graphs, quality gates
MCP Task Orchestrator is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 78/100. 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 MCP 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-orchestrator:3.16.0Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-02T14:07:50.94469Z",
"publishedAt": "2026-10-02T14:07:50.94469Z",
"statusChangedAt": "2026-10-02T14:07:50.94469Z"
}
},
"server": {
"name": "io.github.jpicklyk/task-orchestrator",
"title": "MCP Task Orchestrator",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "3.16.0",
"packages": [
{
"transport": {
"type": "stdio"
},
"identifier": "ghcr.io/jpicklyk/task-orchestrator:3.16.0",
"runtimeHint": "docker",
"registryType": "oci",
"runtimeArguments": [
{
"name": "-v",
"type": "named",
"value": "mcp-task-data:/app/data",
"isRequired": true,
"description": "Docker named volume for persistent SQLite data storage, mounted at /app/data"
}
],
"environmentVariables": [
{
"name": "DATABASE_PATH",
"description": "SQLite database file path (default: data/current-tasks.db)"
},
{
"name": "USE_FLYWAY",
"description": "Enable Flyway database migrations (default: true)"
},
{
"name": "AGENT_CONFIG_DIR",
"description": "Directory containing .taskorchestrator/config.yaml for workflow schemas (default: working dir)"
},
{
"name": "MCP_TRANSPORT",
"description": "Transport mode: stdio (default) or http"
},
{
"name": "MCP_HTTP_PORT",
"description": "HTTP port when using http transport (default: 3001)"
},
{
"name": "LOG_LEVEL",
"description": "Logging level: DEBUG, INFO, WARN, ERROR (default: INFO)"
},
{
"name": "LOG_FILE",
"description": "Optional log file path. Unset (default) disables file logging; logs are always JSON on stderr."
}
]
}
],
"repository": {
"url": "https://github.com/jpicklyk/task-orchestrator.git",
"source": "github"
},
"description": "Server-enforced workflow discipline for AI agents: work items, dependency graphs, quality gates"
}
}